Instructions to use splitner/single-seqtag-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/single-seqtag-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/single-seqtag-ontonotes") model = AutoModel.from_pretrained("splitner/single-seqtag-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
af286a7
1
Parent(s): f1ff915
first model version
Browse files- config.json +138 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +3328 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
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{
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"_name_or_path": "roberta-base",
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"architectures": [
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"NerRobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"10": "LABEL_10",
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"26": "LABEL_26",
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"30": "LABEL_30",
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"37": "LABEL_37",
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"38": "LABEL_38",
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"39": "LABEL_39",
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"40": "LABEL_40",
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"41": "LABEL_41",
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"42": "LABEL_42",
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"44": "LABEL_44",
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"48": "LABEL_48",
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"49": "LABEL_49",
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"51": "LABEL_51",
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"52": "LABEL_52",
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"53": "LABEL_53",
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"54": "LABEL_54"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_10": 10,
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"LABEL_11": 11,
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"LABEL_12": 12,
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"LABEL_13": 13,
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"LABEL_14": 14,
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"LABEL_15": 15,
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"LABEL_16": 16,
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"LABEL_17": 17,
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"LABEL_18": 18,
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"LABEL_19": 19,
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"LABEL_2": 2,
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"LABEL_20": 20,
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"LABEL_21": 21,
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"LABEL_22": 22,
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"LABEL_23": 23,
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"LABEL_24": 24,
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"LABEL_25": 25,
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"LABEL_26": 26,
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"LABEL_27": 27,
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"LABEL_28": 28,
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"LABEL_29": 29,
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"LABEL_3": 3,
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"LABEL_30": 30,
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"LABEL_31": 31,
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"LABEL_32": 32,
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"LABEL_33": 33,
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"LABEL_34": 34,
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"LABEL_35": 35,
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"LABEL_36": 36,
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"LABEL_37": 37,
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"LABEL_38": 38,
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"LABEL_39": 39,
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"LABEL_4": 4,
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"LABEL_40": 40,
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"LABEL_41": 41,
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"LABEL_42": 42,
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"LABEL_43": 43,
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"LABEL_44": 44,
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"LABEL_45": 45,
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"LABEL_46": 46,
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"LABEL_47": 47,
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"LABEL_48": 48,
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"LABEL_49": 49,
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"LABEL_5": 5,
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"LABEL_50": 50,
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"LABEL_51": 51,
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"LABEL_52": 52,
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"LABEL_53": 53,
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"LABEL_54": 54,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"type_vocab_size": 1,
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"vocab_size": 50265
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:04bd2702ec1eef4f95aec0ea0e23ca88acd8acf1cd8c74c765af6a5dd2790756
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size 1049859309
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e8d8e9ec75d7ecf979a8d7e408deb072dd7de54f51e36c90402136df4d0d6ae
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size 524956547
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb364c8af7a290d5862328adf3cfb3dea773d6d84bf78b4dadd9222271cf8d51
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size 623
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "name_or_path": "roberta-base"}
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trainer_state.json
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vocab.json
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