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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bd647cca33e93ea2767b8abfbcd90e5334b6c8dca65e26d3a1a1fe82ab69b83
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size 260803668
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