Instructions to use robiulawaldev/9c58422c-4b66-4fca-8308-373ce5071dd7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robiulawaldev/9c58422c-4b66-4fca-8308-373ce5071dd7 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, "robiulawaldev/9c58422c-4b66-4fca-8308-373ce5071dd7") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from robiulawaldev/9c58422c-4b66-4fca-8308-373ce5071dd7: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/robiulawaldev/9c58422c-4b66-4fca-8308-373ce5071dd7/resolve/main/training_args.bin
- Command line
-
hf download hf://robiulawaldev/9c58422c-4b66-4fca-8308-373ce5071dd7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/robiulawaldev/9c58422c-4b66-4fca-8308-373ce5071dd7/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 099c8e842717d587f345a0f7aafe97afa242307f38383b77f3822c7272fdc589
- Size of remote file:
- 6.78 kB
- SHA256:
- 0d26f7ef33249c601bcce8845800105a88c6e6b1b3a865e6e3afa77a7f8620e8
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