Instructions to use IaraMed/bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IaraMed/bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IaraMed/bert_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IaraMed/bert_base") model = AutoModelForSequenceClassification.from_pretrained("IaraMed/bert_base") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
- vocab.txt +0 -0
tokenizer.json
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tokenizer_config.json
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"do_lower_case":
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 512,
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vocab.txt
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