Instructions to use VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- e6b3c799ac07acf74d2c0ce96d9419bb31f9ab8f33c6254dc855ab007ee51823
- Size of remote file:
- 6.78 kB
- SHA256:
- 43f0166fd4c66258d610d7376f2776a7cec8e943063884e92b4e3a88827ae790
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