Instructions to use isaaclee/mistral_train_seq_cls_run1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isaaclee/mistral_train_seq_cls_run1 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, "isaaclee/mistral_train_seq_cls_run1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isaaclee/mistral_train_seq_cls_run1: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/isaaclee/mistral_train_seq_cls_run1/resolve/main/training_args.bin
- Command line
-
hf download hf://isaaclee/mistral_train_seq_cls_run1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isaaclee/mistral_train_seq_cls_run1/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 051ed45f485b363cd397d81886ea1f362ab193d49d0617cb806ce7083bc808b7
- Size of remote file:
- 4.73 kB
- SHA256:
- b5d7d9f40b40fba81643c95fe582cce4dc9c93313f349074f8d52a57ecab60b1
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