Instructions to use aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb/resolve/98b985bada404a807b6e69a4671d82d7ba5b4bcc/training_args.bin
- Command line
-
hf download hf://aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb@98b985bada404a807b6e69a4671d82d7ba5b4bcc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb/resolve/98b985bada404a807b6e69a4671d82d7ba5b4bcc/training_args.bin
6.84 kB
- Xet hash:
- dbf8e885574949f1f074653d511492cb39b75e652e2ceeae22e665e913701f8f
- Size of remote file:
- 6.84 kB
- SHA256:
- 484b734363f9532d836d7b41fcfd2f06ee652e0ef9ce33f82928112f914d65c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.