Instructions to use prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00/resolve/5cfdbc714ca5b11e348cd059c6ce6bd5deebdfab/vocab.json
- Command line
-
hf download hf://prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00@5cfdbc714ca5b11e348cd059c6ce6bd5deebdfab/vocab.json
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curl -L -o vocab.json https://huggingface.co/prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00/resolve/5cfdbc714ca5b11e348cd059c6ce6bd5deebdfab/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.