Instructions to use deadcode99/mistral-7b-32k-billm-finetuned-token-classification-segmentwise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deadcode99/mistral-7b-32k-billm-finetuned-token-classification-segmentwise with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "deadcode99/mistral-7b-32k-billm-finetuned-token-classification-segmentwise") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fd07e1fdb0af5b0e53a463841992bbe04b15c1db861907d0c0a2c7e58d2c789
- Size of remote file:
- 27.3 MB
- SHA256:
- 761c651de2687afee0d6819c465cac47ab39e50fbd77e288501079f8fc651276
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