Instructions to use tobiso/bert-base-cased_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tobiso/bert-base-cased_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tobiso/bert-base-cased_final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tobiso/bert-base-cased_final") model = AutoModelForTokenClassification.from_pretrained("tobiso/bert-base-cased_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload XLMRobertaForTokenClassification
Browse files- config.json +10 -8
- model.safetensors +2 -2
config.json
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{
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"architectures": [
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"
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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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"
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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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"I-Person": 11,
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"O": 12
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},
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"layer_norm_eps": 1e-
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"max_position_embeddings":
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"model_type": "
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.51.3",
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"type_vocab_size":
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"use_cache": true,
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"vocab_size":
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}
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{
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"architectures": [
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"XLMRobertaForTokenClassification"
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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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"classifier_dropout": null,
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"eos_token_id": 2,
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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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"I-Person": 11,
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"O": 12
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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": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.51.3",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 1109876260
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