Instructions to use thenlpresearcher/mistral_sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thenlpresearcher/mistral_sequence_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("mistralai/Mistral-7B-v0.3") model = PeftModel.from_pretrained(base_model, "thenlpresearcher/mistral_sequence_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 864807a249700d974a2d6a9e617a5879c134108c1f608650a03588fe189c5ffd
- Size of remote file:
- 5.24 kB
- SHA256:
- 85bb051bb15730e29fa95904009fe6bb5c0ca34a62b2d544bbafe6024bd57a92
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.