Instructions to use isaaclee/mistral_train_seq_cls_run2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isaaclee/mistral_train_seq_cls_run2 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_run2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isaaclee/mistral_train_seq_cls_run2: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/isaaclee/mistral_train_seq_cls_run2/resolve/main/training_args.bin
- Command line
-
hf download hf://isaaclee/mistral_train_seq_cls_run2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isaaclee/mistral_train_seq_cls_run2/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 4e308a4037b296e6c248311363ee733ae098a265e008300862051617aad15d5e
- Size of remote file:
- 4.73 kB
- SHA256:
- aaceedaf8c3c44e1a6dfaebd72448ff64eda747dd169a30a6a98f8cd49ca2ae6
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