Instructions to use error577/e99b6a20-be94-4148-af75-f696f7fce256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/e99b6a20-be94-4148-af75-f696f7fce256 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "error577/e99b6a20-be94-4148-af75-f696f7fce256") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from error577/e99b6a20-be94-4148-af75-f696f7fce256: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/error577/e99b6a20-be94-4148-af75-f696f7fce256/resolve/main/tokenizer.json
- Command line
-
hf download hf://error577/e99b6a20-be94-4148-af75-f696f7fce256/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/error577/e99b6a20-be94-4148-af75-f696f7fce256/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.