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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT") model = AutoModelForTokenClassification.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f34c05ae31254369cb87006f9d244aef0438892ce81c52c097496677cdaa4432
- Size of remote file:
- 261 MB
- SHA256:
- 01281582e294a8074591f45e5e35379912d9c696bfa04c77c5fab820576b5d63
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