Instructions to use kk-aivio/030f30f3-9ba8-443c-8370-b371494d6cc0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/030f30f3-9ba8-443c-8370-b371494d6cc0 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, "kk-aivio/030f30f3-9ba8-443c-8370-b371494d6cc0") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kk-aivio/030f30f3-9ba8-443c-8370-b371494d6cc0: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/kk-aivio/030f30f3-9ba8-443c-8370-b371494d6cc0/resolve/main/training_args.bin
- Command line
-
hf download hf://kk-aivio/030f30f3-9ba8-443c-8370-b371494d6cc0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kk-aivio/030f30f3-9ba8-443c-8370-b371494d6cc0/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- fd3bd2e7400559291ad5ecf3edf2e30f1d7470a186fe9f2cd6f39500ffcf5d3b
- Size of remote file:
- 6.78 kB
- SHA256:
- e07aa072bdb75a0b3f9994d3f4236f9901f5f4ebeb3db0d995bb49a9d9541a3a
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