Instructions to use ashercn97/OpenOrcaUpload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashercn97/OpenOrcaUpload with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "ashercn97/OpenOrcaUpload") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd264793455c8aa067743208cef0c10dac93e7a580438085435a5d62e82ff5fa
- Size of remote file:
- 51 MB
- SHA256:
- 2ebc092e41fb277bd5731fe98365bc5bf6cba5c5413c42c16ce94c31005b10d2
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Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.