Instructions to use Drew-ch/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Drew-ch/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("taide/Llama3-TAIDE-LX-8B-Chat-Alpha1") model = PeftModel.from_pretrained(base_model, "Drew-ch/results") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Drew-ch/results: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/Drew-ch/results/resolve/main/tokenizer.json
- Command line
-
hf download hf://Drew-ch/results/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Drew-ch/results/resolve/main/tokenizer.json
9.08 MB
File too large to display, you can check the raw version instead.