Instructions to use ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/resolve/main/tokenizer.json
- Command line
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hf download hf://ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ngocquangt2k46/1b054327-a6b9-45e0-98ef-2d5fb503dfb8/resolve/main/tokenizer.json
3.62 MB
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