Instructions to use whispAI/DirectQuote-SentLevel-DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whispAI/DirectQuote-SentLevel-DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="whispAI/DirectQuote-SentLevel-DistilBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT") model = AutoModelForTokenClassification.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (31724bec1b655b558a39bbf4c22e5ac868b70374) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0e51a55
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Update README.md
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update model card README.md
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End of training
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Training in progress, epoch 5
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Training in progress, epoch 1
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initial commit
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