files added
Browse files- config.json +42 -0
- convert_flax_to_pytorch.py +3 -0
- convert_pytorch_to_flax.py +3 -0
- convert_pytorch_to_tensorflow.py +3 -0
- flax_model.msgpack +3 -0
- model.safetensors +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "./",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "sadness",
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"1": "joy",
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"2": "love",
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"3": "anger",
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"4": "fear",
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"5": "surprise"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"anger": 3,
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"fear": 4,
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"joy": 1,
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"love": 2,
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"sadness": 0,
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"surprise": 5
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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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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"problem_type": "single_label_classification",
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"transformers_version": "4.11.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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convert_flax_to_pytorch.py
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from transformers import AutoModelForSequenceClassification
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model = AutoModelForSequenceClassification.from_pretrained("./", from_flax=True)
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model.save_pretrained("./")
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convert_pytorch_to_flax.py
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from transformers import FlaxAutoModelForSequenceClassification
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model = FlaxAutoModelForSequenceClassification.from_pretrained("./", from_pt=True)
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model.save_pretrained("./")
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convert_pytorch_to_tensorflow.py
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from transformers import TFAutoModelForSequenceClassification
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model = TFAutoModelForSequenceClassification.from_pretrained("./", from_pt=True)
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model.save_pretrained("./")
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0ba97a0dc911aae90a970f4ff78819cec81f92668f91a2c1b7b3cf3902d73c1
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size 437954632
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf305f2e9e0301cba0a67748a57956cfbb6f7f777c9130d4979088ec94e236c0
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size 437975140
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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:ebbad817820bb5e11d0de06b06c41344dcee484903c510f9949aa783cf5f0b3b
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size 438036745
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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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:c56e2c4da8a8eae545aa3f77abd782cba92814c5f4a54649d3ca5e6412d3a95d
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size 438235496
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased"}
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vocab.txt
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