Instructions to use chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4 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, "chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4/resolve/0131268bf75e26eda72c40b1fb20f6894bc9e098/tokenizer.json
- Command line
-
hf download hf://chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4@0131268bf75e26eda72c40b1fb20f6894bc9e098/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4/resolve/0131268bf75e26eda72c40b1fb20f6894bc9e098/tokenizer.json
3.51 MB
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