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:
- cf46fe09ac20c17829256ac9e9c0cedff8d0781a2ccce7496e2a2f79d5991c35
- Size of remote file:
- 3.44 kB
- SHA256:
- 47bc64c94065845948c2f58e59377701f2852c1d04e3a2673caa986cb138ed07
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