Instructions to use laquythang/633cde4a-7392-4d4e-87a0-4dc5b1c4d159 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/633cde4a-7392-4d4e-87a0-4dc5b1c4d159 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Solar-10b-64k") model = PeftModel.from_pretrained(base_model, "laquythang/633cde4a-7392-4d4e-87a0-4dc5b1c4d159") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from laquythang/633cde4a-7392-4d4e-87a0-4dc5b1c4d159: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/laquythang/633cde4a-7392-4d4e-87a0-4dc5b1c4d159/resolve/main/tokenizer.json
- Command line
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hf download hf://laquythang/633cde4a-7392-4d4e-87a0-4dc5b1c4d159/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/laquythang/633cde4a-7392-4d4e-87a0-4dc5b1c4d159/resolve/main/tokenizer.json
3.51 MB
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