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:
- f03b1539c0a484dc2365d17f5b47da6968dde7cbb8d54aaadbdb1d7805f80d5e
- Size of remote file:
- 261 MB
- SHA256:
- a4530a36c505c3ea73c6047eada139cd280b9cbfb5fe6ece485698dcaaf84676
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