Instructions to use error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M") model = PeftModel.from_pretrained(base_model, "error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214/resolve/0ebdba9bd3715e4433e5c09c11f882dc26f194f3/training_args.bin
- Command line
-
hf download hf://error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214@0ebdba9bd3715e4433e5c09c11f882dc26f194f3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214/resolve/0ebdba9bd3715e4433e5c09c11f882dc26f194f3/training_args.bin
6.78 kB
- Xet hash:
- 0fb9a31d02fa8571dfa1377616c38fbbb3eb53c49c1e8563740b0a197cbe2bba
- Size of remote file:
- 6.78 kB
- SHA256:
- e06ad83f9f3a0d5f011f686f3139d651371eb247f0bb0a5c07252a6ccc844fda
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