Instructions to use annnettte/lettucedect-tool-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use annnettte/lettucedect-tool-calling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="annnettte/lettucedect-tool-calling")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("annnettte/lettucedect-tool-calling") model = AutoModelForTokenClassification.from_pretrained("annnettte/lettucedect-tool-calling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83bbe001b0a51f3129c0ac1ce6f6eaf02dfeb2767f1a211b4f4efe4fdd6fc4e7
- Size of remote file:
- 161 MB
- SHA256:
- 0b377c702e50cb50aa4532ad267c3dbbdd54c1360ac6f742c28fb9d1f51261e6
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