Upload folder using huggingface_hub
Browse files- README.md +19 -0
- assets/tokenizer/merges.txt +0 -0
- assets/tokenizer/vocabulary.json +0 -0
- config.json +16 -0
- metadata.json +6 -0
- model.weights.h5 +3 -0
- preprocessor.json +25 -0
- task.json +49 -0
- tokenizer.json +12 -0
README.md
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---
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library_name: keras-nlp
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pipeline_tag: text-generation
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---
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This is a [`GPT2` model](https://keras.io/api/keras_nlp/models/gpt2) uploaded using the KerasNLP library and can be used with JAX, TensorFlow, and PyTorch backends.
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This model is related to a `CausalLM` task.
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Model config:
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* **name:** gpt2_backbone
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* **trainable:** True
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* **vocabulary_size:** 50257
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* **num_layers:** 12
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* **num_heads:** 12
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* **hidden_dim:** 768
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* **intermediate_dim:** 3072
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* **dropout:** 0.1
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* **max_sequence_length:** 1024
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This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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assets/tokenizer/merges.txt
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assets/tokenizer/vocabulary.json
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config.json
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{
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"module": "keras_nlp.src.models.gpt2.gpt2_backbone",
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"class_name": "GPT2Backbone",
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"config": {
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"name": "gpt2_backbone",
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"trainable": true,
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"vocabulary_size": 50257,
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"num_layers": 12,
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"num_heads": 12,
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"hidden_dim": 768,
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"intermediate_dim": 3072,
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"dropout": 0.1,
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"max_sequence_length": 1024
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},
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"registered_name": "keras_nlp>GPT2Backbone"
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}
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metadata.json
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{
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"keras_version": "3.3.3",
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"keras_nlp_version": "0.10.0",
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"parameter_count": 124439808,
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"date_saved": "2024-04-29@22:24:12"
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}
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:eadac7e90e3551847652eb34b82212ccd1f0e986cdccb86805b674928e458657
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size 498160592
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preprocessor.json
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{
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"module": "keras_nlp.src.models.gpt2.gpt2_causal_lm_preprocessor",
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"class_name": "GPT2CausalLMPreprocessor",
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"config": {
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"name": "gpt2_causal_lm_preprocessor",
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"trainable": true,
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"dtype": "float32",
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"tokenizer": {
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"module": "keras_nlp.src.models.gpt2.gpt2_tokenizer",
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"class_name": "GPT2Tokenizer",
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"config": {
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"name": "gpt2_tokenizer",
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"trainable": true,
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"dtype": "int32",
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"sequence_length": null,
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"add_prefix_space": false
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},
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"registered_name": "keras_nlp>GPT2Tokenizer"
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},
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"sequence_length": 1024,
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"add_start_token": true,
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"add_end_token": true
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},
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"registered_name": "keras_nlp>GPT2CausalLMPreprocessor"
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}
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task.json
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{
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"module": "keras_nlp.src.models.gpt2.gpt2_causal_lm",
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"class_name": "GPT2CausalLM",
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"config": {
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"backbone": {
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"module": "keras_nlp.src.models.gpt2.gpt2_backbone",
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"class_name": "GPT2Backbone",
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"config": {
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"name": "gpt2_backbone",
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"trainable": true,
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"vocabulary_size": 50257,
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"num_layers": 12,
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"num_heads": 12,
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"hidden_dim": 768,
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"intermediate_dim": 3072,
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"dropout": 0.1,
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"max_sequence_length": 1024
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},
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"registered_name": "keras_nlp>GPT2Backbone"
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},
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"preprocessor": {
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"module": "keras_nlp.src.models.gpt2.gpt2_causal_lm_preprocessor",
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"class_name": "GPT2CausalLMPreprocessor",
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"config": {
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"name": "gpt2_causal_lm_preprocessor",
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"trainable": true,
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"dtype": "float32",
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"tokenizer": {
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"module": "keras_nlp.src.models.gpt2.gpt2_tokenizer",
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"class_name": "GPT2Tokenizer",
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"config": {
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"name": "gpt2_tokenizer",
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"trainable": true,
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"dtype": "int32",
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"sequence_length": null,
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"add_prefix_space": false
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},
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"registered_name": "keras_nlp>GPT2Tokenizer"
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},
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"sequence_length": 1024,
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"add_start_token": true,
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"add_end_token": true
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},
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"registered_name": "keras_nlp>GPT2CausalLMPreprocessor"
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},
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"name": "gpt2_causal_lm"
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},
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"registered_name": "keras_nlp>GPT2CausalLM"
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}
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tokenizer.json
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{
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"module": "keras_nlp.src.models.gpt2.gpt2_tokenizer",
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"class_name": "GPT2Tokenizer",
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"config": {
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"name": "gpt2_tokenizer",
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"trainable": true,
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"dtype": "int32",
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"sequence_length": null,
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"add_prefix_space": false
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},
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"registered_name": "keras_nlp>GPT2Tokenizer"
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}
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