Instructions to use zeusfsx/instruction-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeusfsx/instruction-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zeusfsx/instruction-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("zeusfsx/instruction-detection") model = AutoModelForTokenClassification.from_pretrained("zeusfsx/instruction-detection") - Notebooks
- Google Colab
- Kaggle
Commit ·
e2f2632
1
Parent(s): 6552328
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (c0664353d7b615a13b236b185ac5622616dc3a48)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:efd792b1f2adcaf7e4e93abb80eb61a529912b2b8e7ff95ab8dd867a19c6fffd
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size 437909872
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