Instructions to use vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/resolve/main/adapter_model.bin
- Command line
-
hf download hf://vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 8ded66a668ecbba856108aa891fb237769adc42f6cef0a43d6c83aeb277fc493
- Size of remote file:
- 84 MB
- SHA256:
- f51b3da00bb68ed43448f95424a4c869d85d4f79ca0df27e422554659d7615b4
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