Instructions to use minhnguyennnnnn/9eaac1c9-30e8-4fbc-a8b5-2ad7261c51c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhnguyennnnnn/9eaac1c9-30e8-4fbc-a8b5-2ad7261c51c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Solar-10b-32k") model = PeftModel.from_pretrained(base_model, "minhnguyennnnnn/9eaac1c9-30e8-4fbc-a8b5-2ad7261c51c2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from minhnguyennnnnn/9eaac1c9-30e8-4fbc-a8b5-2ad7261c51c2: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/minhnguyennnnnn/9eaac1c9-30e8-4fbc-a8b5-2ad7261c51c2/resolve/main/tokenizer.json
- Command line
-
hf download hf://minhnguyennnnnn/9eaac1c9-30e8-4fbc-a8b5-2ad7261c51c2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/minhnguyennnnnn/9eaac1c9-30e8-4fbc-a8b5-2ad7261c51c2/resolve/main/tokenizer.json
3.51 MB
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