Instructions to use thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Capybara-7B-V1") model = PeftModel.from_pretrained(base_model, "thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045/resolve/main/tokenizer.json
- Command line
-
hf download hf://thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.