Instructions to use Kype720184/DorsetHeatwaveLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kype720184/DorsetHeatwaveLLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-1.7b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Kype720184/DorsetHeatwaveLLM") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Kype720184/DorsetHeatwaveLLM: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Kype720184/DorsetHeatwaveLLM/resolve/main/tokenizer.json
- Command line
-
hf download hf://Kype720184/DorsetHeatwaveLLM/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Kype720184/DorsetHeatwaveLLM/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 1bd65ed0cdd8a9bc998bd600e2d92f326bbd75a3aa87bba25259954308db5300
- Size of remote file:
- 11.4 MB
- SHA256:
- 10ba4ba91270b1a50e5cd8e51023bccc66fc4ac4909dd7ae7ab29433411c9bb9
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