Instructions to use prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/resolve/main/last-checkpoint/tokenizer.json
- Command line
-
hf download hf://prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/last-checkpoint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/resolve/main/last-checkpoint/tokenizer.json
3.62 MB
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