Instructions to use 594zyc/ProAssist-Model-L4096-I1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 594zyc/ProAssist-Model-L4096-I1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "594zyc/ProAssist-Model-L4096-I1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 594zyc/ProAssist-Model-L4096-I1: direct link, hf CLI and curl.
- Browser
- Download file 7.8 kB
-
https://huggingface.co/594zyc/ProAssist-Model-L4096-I1/resolve/main/training_args.bin
- Command line
-
hf download hf://594zyc/ProAssist-Model-L4096-I1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/594zyc/ProAssist-Model-L4096-I1/resolve/main/training_args.bin
7.8 kB
- Xet hash:
- 67faca312b9b6ddfc277110955f9433061e746481536c44f5145b0e4c89b069e
- Size of remote file:
- 7.8 kB
- SHA256:
- c5642493a46fd4887da48c0c58ec4b1252c34fee0f683c887c292c1f6d7b6c9e
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