Instructions to use hardlyworking/Beef-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hardlyworking/Beef-12B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hardlyworking/Noodles-Merge-12B") model = PeftModel.from_pretrained(base_model, "hardlyworking/Beef-12B") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-358/tokenizer.json from hardlyworking/Beef-12B: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/hardlyworking/Beef-12B/resolve/main/checkpoint-358/tokenizer.json
- Command line
-
hf download hf://hardlyworking/Beef-12B/checkpoint-358/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hardlyworking/Beef-12B/resolve/main/checkpoint-358/tokenizer.json
17.1 MB
- Xet hash:
- e4d8fdb38232315bc7adf62585b9032042be295bfa08836288cff54bb157c0a2
- Size of remote file:
- 17.1 MB
- SHA256:
- 4b4c8fcd33487a449c07f423d47adb035bba8347ccf13eb074b4d1fef8acf919
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