hf-transformers-bot
commited on
Commit
•
165350a
1
Parent(s):
b205014
Upload tiny models for ProphetNetForCausalLM
Browse files- config.json +35 -0
- generation_config.json +8 -0
- prophetnet.tokenizer +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +16 -0
config.json
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{
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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"add_cross_attention": true,
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"architectures": [
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"ProphetNetForCausalLM"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"decoder_ffn_dim": 32,
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"decoder_start_token_id": 0,
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"disable_ngram_loss": false,
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"dropout": 0.1,
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"encoder_ffn_dim": 32,
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"eos_token_id": 2,
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"eps": 0.0,
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"hidden_size": 16,
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"init_std": 0.02,
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"is_decoder": true,
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"is_encoder_decoder": false,
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"max_position_embeddings": 30,
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"model_type": "prophetnet",
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"ngram": 2,
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"num_buckets": 32,
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"num_decoder_attention_heads": 4,
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"num_decoder_layers": 4,
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"num_encoder_attention_heads": 4,
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"num_encoder_layers": 4,
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"pad_token_id": 0,
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"relative_max_distance": 128,
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"torch_dtype": "float32",
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"transformers_version": "4.28.0.dev0",
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"use_cache": true,
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"vocab_size": 30522
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"decoder_start_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.28.0.dev0"
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}
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prophetnet.tokenizer
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The diff for this file is too large to render.
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bfeadc09a2641323ac08569070fb8c201dadc5033708ef32b2c15f0cc80f0bf
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size 2082721
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special_tokens_map.json
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{
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 30,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": "/home/runner/.cache/huggingface/hub/models--microsoft--prophetnet-large-uncased/snapshots/fd5b6f7e0cae2f7cd69f33b3da1d316c8f43645e/special_tokens_map.json",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "ProphetNetTokenizer",
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"unk_token": "[UNK]",
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"x_sep_token": "[X_SEP]"
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}
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