Instructions to use error577/71646966-4a6c-455b-a2fa-5c3e40efd67b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/71646966-4a6c-455b-a2fa-5c3e40efd67b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-13b-v8.1-fp16") model = PeftModel.from_pretrained(base_model, "error577/71646966-4a6c-455b-a2fa-5c3e40efd67b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from error577/71646966-4a6c-455b-a2fa-5c3e40efd67b: direct link, hf CLI and curl.
- Browser
- Download file 3.73 MB
-
https://huggingface.co/error577/71646966-4a6c-455b-a2fa-5c3e40efd67b/resolve/main/tokenizer.json
- Command line
-
hf download hf://error577/71646966-4a6c-455b-a2fa-5c3e40efd67b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/error577/71646966-4a6c-455b-a2fa-5c3e40efd67b/resolve/main/tokenizer.json
3.73 MB
File too large to display, you can check the raw version instead.