Instructions to use giannisan/mistral-docker_NL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use giannisan/mistral-docker_NL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "giannisan/mistral-docker_NL") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from giannisan/mistral-docker_NL: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/giannisan/mistral-docker_NL/resolve/main/training_args.bin
- Command line
-
hf download hf://giannisan/mistral-docker_NL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/giannisan/mistral-docker_NL/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 700016337888232801796a44006fc25947ba51d56e9fd139897e457981fd7be9
- Size of remote file:
- 5.05 kB
- SHA256:
- 676e2e32c98aff8e05bed7cbaa5a643536ab49031698861283f6ee682c1fefd0
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