Instructions to use quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d/resolve/main/last-checkpoint/tokenizer.json
- Command line
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hf download hf://quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d/last-checkpoint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d/resolve/main/last-checkpoint/tokenizer.json
3.62 MB
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