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:
- 58eba16464f589343cb59da0adb051bf4981cff722118ae3fb6044833aed4992
- Size of remote file:
- 3.5 kB
- SHA256:
- f69c2255920f74696958800bcd577dae001a95780a03a2e29b14337a76931e70
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