ibraheemmoosa commited on
Commit
f974d3f
1 Parent(s): 6e05cab

xlmindic-base-multiscript tokenizer, model weights (in Pytorch, TF and Flax) and tags

Browse files
README.md CHANGED
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- Hello World.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - as
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+ - bn
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+ - gu
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+ - hi
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+ - mr
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+ - ne
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+ - or
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+ - pa
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+ - si
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+ license: apache-2.0
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+ datasets:
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+ - oscar
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+ tags:
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+ - multilingual
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+ - albert
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+ - masked-language-modeling
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+ - sentence-order-prediction
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+ - fill-mask
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+ - nlp
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+ ---
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+
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+ # XLMIndic Base Uniscript
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+
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+ Pretrained ALBERT model on the OSCAR corpus on the languages Assamese, Bengali, Gujarati, Hindi, Marathi,
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+ Nepali, Oriya, Panjabi and Sinhala. Like ALBERT it was pretrained using as masked language modeling (MLM)
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+ and a sentence order prediction (SOP) objective.
config.json ADDED
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+ {
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+ "_name_or_path": ".",
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+ "architectures": [
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+ "AlbertForPreTraining"
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+ ],
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+ "attention_probs_dropout_prob": 0,
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+ "bos_token_id": 2,
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+ "classifier_dropout_prob": 0.1,
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+ "embedding_size": 128,
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+ "eos_token_id": 3,
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+ "hidden_act": "gelu_new",
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+ "hidden_dropout_prob": 0,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "inner_group_num": 1,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "albert",
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+ "num_attention_heads": 12,
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+ "num_hidden_groups": 1,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.15.0",
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+ "type_vocab_size": 2,
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+ "vocab_size": 50000
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+ }
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special_tokens_map.json ADDED
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+ {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.vocab ADDED
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tokenizer_config.json ADDED
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+ {"do_lower_case": false, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false, "__type": "AddedToken"}, "sp_model_kwargs": {}, "model_max_length": 512, "tokenizer_class": "AlbertTokenizer"}