Instructions to use kudoshinichi/bert_emails with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kudoshinichi/bert_emails with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kudoshinichi/bert_emails")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kudoshinichi/bert_emails") model = AutoModelForSequenceClassification.from_pretrained("kudoshinichi/bert_emails", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 20d1be0
Committed tokenizer
Browse filesTokenizers from https://huggingface.co/bert-base-cased/tree/main
- tokenizer.json +0 -0
- tokenizer_config.json +3 -0
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tokenizer_config.json
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"do_lower_case": false
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