Instructions to use isaaclee/mistral_train_run4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isaaclee/mistral_train_run4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "isaaclee/mistral_train_run4") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isaaclee/mistral_train_run4: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/isaaclee/mistral_train_run4/resolve/main/training_args.bin
- Command line
-
hf download hf://isaaclee/mistral_train_run4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isaaclee/mistral_train_run4/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 7da8eff27f7aae407aced4d11cb06a03f1c1cfe5d3d50bdff9eebac0ab7e9a67
- Size of remote file:
- 4.73 kB
- SHA256:
- dc89c1cf727059cd31d083fb3160d5bc0bb0e425caa057b465ddd5dc04d3a66f
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