Instructions to use besimray/tmplrtest1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use besimray/tmplrtest1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/4084e1ff-15bf-4a3b-a548-bd073151d1d5") model = PeftModel.from_pretrained(base_model, "besimray/tmplrtest1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from besimray/tmplrtest1: direct link, hf CLI and curl.
- Browser
- Download file 7.42 kB
-
https://huggingface.co/besimray/tmplrtest1/resolve/main/training_args.bin
- Command line
-
hf download hf://besimray/tmplrtest1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/besimray/tmplrtest1/resolve/main/training_args.bin
7.42 kB
- Xet hash:
- 61d610a056131a0b59798cea9d296c38fda57cc9a70889c75fa52e6a964ad128
- Size of remote file:
- 7.42 kB
- SHA256:
- f9f16e9a7df67560dd84e9a3584801a1ce6a638aba62192dd7b955ae22b20018
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