Instructions to use vermoney/6342a2e9-622c-4b8d-b56a-b11136d4d9da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vermoney/6342a2e9-622c-4b8d-b56a-b11136d4d9da 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, "vermoney/6342a2e9-622c-4b8d-b56a-b11136d4d9da") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vermoney/6342a2e9-622c-4b8d-b56a-b11136d4d9da: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/vermoney/6342a2e9-622c-4b8d-b56a-b11136d4d9da/resolve/main/training_args.bin
- Command line
-
hf download hf://vermoney/6342a2e9-622c-4b8d-b56a-b11136d4d9da/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vermoney/6342a2e9-622c-4b8d-b56a-b11136d4d9da/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- af46d8ee659e2dd192ecc110af6b37101db8190809656ce349133d45364eb217
- Size of remote file:
- 6.78 kB
- SHA256:
- 15dcaf03b30c1f237d257242f9647a12fba9b34a1fef5fc29f289d0000b0e9ae
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