Instructions to use nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836/resolve/main/tokenizer.json
- Command line
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hf download hf://nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836/resolve/main/tokenizer.json
3.51 MB
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