Instructions to use tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951/resolve/main/tokenizer.json
- Command line
-
hf download hf://tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951/resolve/main/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.