Instructions to use thenlpresearcher/sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thenlpresearcher/sequence_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "thenlpresearcher/sequence_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a9337f5a9f5f04d271ee03e8e6117703c9b0b50520b1d60d837ce714935e41b
- Size of remote file:
- 17.2 MB
- SHA256:
- 32bb219e0d6f93d2056ee8e90d370c6dbbcb5eab24dd26cfc382688e1be3a88e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.