Instructions to use demohong/2916775a-ba8b-4409-bb74-d9c8f72fc337 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/2916775a-ba8b-4409-bb74-d9c8f72fc337 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "demohong/2916775a-ba8b-4409-bb74-d9c8f72fc337") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from demohong/2916775a-ba8b-4409-bb74-d9c8f72fc337: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/demohong/2916775a-ba8b-4409-bb74-d9c8f72fc337/resolve/main/training_args.bin
- Command line
-
hf download hf://demohong/2916775a-ba8b-4409-bb74-d9c8f72fc337/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/demohong/2916775a-ba8b-4409-bb74-d9c8f72fc337/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 79d826fe77531dc2af00919494d796a23a9875cd1b62a07768c16485c4b81303
- Size of remote file:
- 6.78 kB
- SHA256:
- b9478c65b3eac752d5f38eb831851d061fd5b6159367f66be8c0c8783ae1eca7
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