Instructions to use aleegis12/0713cc3c-6719-4484-90c8-17d434503f79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/0713cc3c-6719-4484-90c8-17d434503f79 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, "aleegis12/0713cc3c-6719-4484-90c8-17d434503f79") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aleegis12/0713cc3c-6719-4484-90c8-17d434503f79: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/aleegis12/0713cc3c-6719-4484-90c8-17d434503f79/resolve/main/training_args.bin
- Command line
-
hf download hf://aleegis12/0713cc3c-6719-4484-90c8-17d434503f79/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aleegis12/0713cc3c-6719-4484-90c8-17d434503f79/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 931f1163d4b66058e328aea02f26e2332723a28b98656f07957d87a239773bed
- Size of remote file:
- 6.84 kB
- SHA256:
- 60dc226cb33166ddf32c147128682aa3072ee52174aabab577c47de2cbec1355
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