Instructions to use alchemist69/ad4b2a37-8700-4e5c-9aef-98e2b0aab97c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/ad4b2a37-8700-4e5c-9aef-98e2b0aab97c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3") model = PeftModel.from_pretrained(base_model, "alchemist69/ad4b2a37-8700-4e5c-9aef-98e2b0aab97c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from alchemist69/ad4b2a37-8700-4e5c-9aef-98e2b0aab97c: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/ad4b2a37-8700-4e5c-9aef-98e2b0aab97c/resolve/cabce40ad127199c273cd25ac548ad100ceaa1f6/last-checkpoint/training_args.bin
- Command line
-
hf download hf://alchemist69/ad4b2a37-8700-4e5c-9aef-98e2b0aab97c@cabce40ad127199c273cd25ac548ad100ceaa1f6/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/ad4b2a37-8700-4e5c-9aef-98e2b0aab97c/resolve/cabce40ad127199c273cd25ac548ad100ceaa1f6/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 37892e59bf83ba783662f94e3ce47dd95fb490ccb64371cd4d8a629dcba3e502
- Size of remote file:
- 6.84 kB
- SHA256:
- ffffc8839bd19ff6caddeb713ad93112885706f5761df7d60f5125f82810e1bb
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