Instructions to use PranavBP525/slava with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PranavBP525/slava with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("liuhaotian/llava-v1.5-7b") model = PeftModel.from_pretrained(base_model, "PranavBP525/slava") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PranavBP525/slava: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/PranavBP525/slava/resolve/main/training_args.bin
- Command line
-
hf download hf://PranavBP525/slava/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PranavBP525/slava/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 7550508b73ada2690d73d05c26b30df0cb9f3014e2b8f25cf7fcb04fda1eb9d1
- Size of remote file:
- 4.92 kB
- SHA256:
- efa04baef66daaae9639eb1ab85d3b0341a4ba17e0409fdf256e816118a06005
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