Instructions to use splitner/spanclass-qa-dice-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spanclass-qa-dice-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spanclass-qa-dice-ontonotes") model = AutoModel.from_pretrained("splitner/spanclass-qa-dice-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
21a7ee9
1
Parent(s): 5d76b94
first model version
Browse files- config.json +64 -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 +280 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
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{
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"_name_or_path": "roberta-base",
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"architectures": [
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"NerSpanRobertaModel"
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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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"9": "LABEL_9",
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"10": "LABEL_10",
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"11": "LABEL_11",
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"12": "LABEL_12",
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"13": "LABEL_13",
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"14": "LABEL_14",
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"15": "LABEL_15",
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"16": "LABEL_16",
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"17": "LABEL_17"
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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_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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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:fb2a43e77ab05d6092351ec909f157103c1d2cafc59d2809f2a3c767b8199854
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size 997392285
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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:b3efb7b5eac3ce4be9aa7b1a377dcb00d99496f85fc005dc1a73ef7eec0d9faf
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size 498723309
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ff077b6829b1bd4e8216d57579bdb9135780ec15cd8016bcbfcecdc00a7010d
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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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{
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vocab.json
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