Instructions to use gamzadole/llama3_Only_Commonsense_Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gamzadole/llama3_Only_Commonsense_Reasoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/Llama-3-Open-Ko-8B-Instruct-preview") model = PeftModel.from_pretrained(base_model, "gamzadole/llama3_Only_Commonsense_Reasoning") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gamzadole/llama3_Only_Commonsense_Reasoning: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/gamzadole/llama3_Only_Commonsense_Reasoning/resolve/main/tokenizer.json
- Command line
-
hf download hf://gamzadole/llama3_Only_Commonsense_Reasoning/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gamzadole/llama3_Only_Commonsense_Reasoning/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.