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 last-checkpoint/optimizer.pt from vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe: direct link, hf CLI and curl.
- Browser
- Download file 43.1 MB
-
https://huggingface.co/vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/resolve/main/last-checkpoint/optimizer.pt
43.1 MB
- Xet hash:
- ec3fa9a944c5e7090cd7d72b221a0639e94c3ffdc1703a343f6fdc1260c06d6e
- Size of remote file:
- 43.1 MB
- SHA256:
- dead396e1f511f76852d1a4077a03be507cd91b203b38411807dce16ad324019
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