Instructions to use tuantmdev/65f825fc-1a48-44c7-8d09-377e9c9c23d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/65f825fc-1a48-44c7-8d09-377e9c9c23d3 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, "tuantmdev/65f825fc-1a48-44c7-8d09-377e9c9c23d3") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from tuantmdev/65f825fc-1a48-44c7-8d09-377e9c9c23d3: direct link, hf CLI and curl.
- Browser
- Download file 43.1 MB
-
https://huggingface.co/tuantmdev/65f825fc-1a48-44c7-8d09-377e9c9c23d3/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://tuantmdev/65f825fc-1a48-44c7-8d09-377e9c9c23d3/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/tuantmdev/65f825fc-1a48-44c7-8d09-377e9c9c23d3/resolve/main/last-checkpoint/optimizer.pt
43.1 MB
- Xet hash:
- 13f18a9e0746375ed33115666b446c7153eafebd5d10c3316728fce1be70c504
- Size of remote file:
- 43.1 MB
- SHA256:
- 88f77525541cd812ed219fbffa0590d55920bbd9c4e61a0e16f31a09abec6dc8
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