Instructions to use arodriguezf/mmbert-binary-borrowings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arodriguezf/mmbert-binary-borrowings with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arodriguezf/mmbert-binary-borrowings")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arodriguezf/mmbert-binary-borrowings") model = AutoModelForTokenClassification.from_pretrained("arodriguezf/mmbert-binary-borrowings", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- .gitattributes +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +31 -0
.gitattributes
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:aed3558d6f9d5903210f98359fe3e802546d9722e3a671cac045cedb59c4719b
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<bos>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<bos>",
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"eos_token": "<eos>",
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"extra_special_tokens": [
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"<start_of_turn>",
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"<end_of_turn>"
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],
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"is_local": true,
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"local_files_only": true,
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"mask_token": "<mask>",
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"max_length": 256,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 8192,
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"pad_to_multiple_of": null,
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"pad_token": "<pad>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "<eos>",
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"spaces_between_special_tokens": false,
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"stride": 0,
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"tokenizer_class": "TokenizersBackend",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>"
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}
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