Instructions to use dendimaki/mistral-lora-token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dendimaki/mistral-lora-token-classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "dendimaki/mistral-lora-token-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae62dce7a980f4cf1c5f1934aa8b9b63d8743cb5dc8028816860e5903cfdad14
- Size of remote file:
- 5.18 kB
- SHA256:
- eeb9ef3e6bc61a6557315ad27dc1f3c792fabe8363b5fc294e8d0507f8e0c0da
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