Instructions to use ksabeh/olmo-ft-oa-mine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ksabeh/olmo-ft-oa-mine with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("allenai/OLMo-7B-Instruct-hf") model = PeftModel.from_pretrained(base_model, "ksabeh/olmo-ft-oa-mine") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ksabeh/olmo-ft-oa-mine: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/ksabeh/olmo-ft-oa-mine/resolve/5c60852e3e77b88d984675e06882c531219c5205/training_args.bin
- Command line
-
hf download hf://ksabeh/olmo-ft-oa-mine@5c60852e3e77b88d984675e06882c531219c5205/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ksabeh/olmo-ft-oa-mine/resolve/5c60852e3e77b88d984675e06882c531219c5205/training_args.bin
5.56 kB
- Xet hash:
- 43bfe5f09be069d8826cef617dad77a0241a25c80e5f2b6bd2aba8f5614f8d19
- Size of remote file:
- 5.56 kB
- SHA256:
- 416acccf230d7b935170506eec5ffa2efd42a145ee09c27478412cdff2131345
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