Instructions to use kevinzhang120/risk_hackathon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kevinzhang120/risk_hackathon with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilbert/distilroberta-base") model = PeftModel.from_pretrained(base_model, "kevinzhang120/risk_hackathon") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kevinzhang120/risk_hackathon: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/kevinzhang120/risk_hackathon/resolve/main/tokenizer.json
- Command line
-
hf download hf://kevinzhang120/risk_hackathon/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kevinzhang120/risk_hackathon/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.