Instructions to use whispAI/DirectQuote-ChunkText-DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whispAI/DirectQuote-ChunkText-DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="whispAI/DirectQuote-ChunkText-DistilBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("whispAI/DirectQuote-ChunkText-DistilBERT") model = AutoModelForTokenClassification.from_pretrained("whispAI/DirectQuote-ChunkText-DistilBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- effecee8bc502a2e2775130adcad8094425ad4a9f5e4b8d1d7741230578ea23c
- Size of remote file:
- 261 MB
- SHA256:
- 3bd647cca33e93ea2767b8abfbcd90e5334b6c8dca65e26d3a1a1fe82ab69b83
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