Instructions to use nithyanantha/YOUR_OUTPUT_DIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nithyanantha/YOUR_OUTPUT_DIR with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mathstral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "nithyanantha/YOUR_OUTPUT_DIR") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nithyanantha/YOUR_OUTPUT_DIR: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/nithyanantha/YOUR_OUTPUT_DIR/resolve/main/training_args.bin
- Command line
-
hf download hf://nithyanantha/YOUR_OUTPUT_DIR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nithyanantha/YOUR_OUTPUT_DIR/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- e31c6fcbef173e09ed7a6b5ec83d17f0301449a09e612bc60e9a4808691d8de0
- Size of remote file:
- 5.24 kB
- SHA256:
- 479b92cd52d91cc0274270b271d67a3dd241f17a89fe9c4271f8e4e485c09d49
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