Instructions to use VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 44b806007aa326b078d0f4e0e4d52e406d5af5f9402c10556f650c7df5c895e4
- Size of remote file:
- 6.78 kB
- SHA256:
- 99e14175ed7da030436021b8417d95756c4abf9edc185422c53ad486a67cfce8
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