Instructions to use isaaclee/mistral_train_seq_cls_run5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isaaclee/mistral_train_seq_cls_run5 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_run5") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isaaclee/mistral_train_seq_cls_run5: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/isaaclee/mistral_train_seq_cls_run5/resolve/main/training_args.bin
- Command line
-
hf download hf://isaaclee/mistral_train_seq_cls_run5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isaaclee/mistral_train_seq_cls_run5/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- d726992441febb219fcc7921b687554b1424f5598a99f648c02343c74c4800be
- Size of remote file:
- 4.73 kB
- SHA256:
- d7664da99e29c80146ec3cf0c7bf9260b69aafd5c4947eb7a08fb4bb5a2eea3d
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