Upload tiny models for AlbertForMultipleChoice
Browse files- config.json +29 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +23 -0
config.json
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{
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"_name_or_path": "temp/dummy/albert/AlbertForMultipleChoice",
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"architectures": [
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"AlbertForMultipleChoice"
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],
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"attention_probs_dropout_prob": 0.1,
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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",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 36,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 37,
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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": 6,
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"num_hidden_groups": 6,
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"num_hidden_layers": 6,
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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": "4.25.0.dev0",
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"type_vocab_size": 16,
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"vocab_size": 1024
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}
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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:d26dd09982fcc3b39b9a031af1fe914873065a98c114261f69ee36cbd713d70e
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size 1056041
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": {
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"content": "[MASK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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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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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f12733bc97a74a68c1581dff5b8eb155a64df8dab153e60f34df4fbd0b8d625
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size 1155072
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"eos_token": "[SEP]",
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"keep_accents": false,
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"mask_token": {
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"__type": "AddedToken",
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"content": "[MASK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 512,
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"name_or_path": "albert-xxlarge-v2",
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"pad_token": "<pad>",
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"remove_space": true,
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"tokenizer_class": "AlbertTokenizer",
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"unk_token": "<unk>"
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}
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