Instructions to use adel11/oIo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adel11/oIo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("adel11/oIo") model = AutoModelForSeq2SeqLM.from_pretrained("adel11/oIo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from adel11/oIo: direct link, hf CLI and curl.
- Browser
- Download file 217 MB
-
https://huggingface.co/adel11/oIo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://adel11/oIo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/adel11/oIo/resolve/main/pytorch_model.bin
217 MB
- Xet hash:
- 2279ecc6566792a733f02581cba0ef1f4a0e92bb7d9d5276647c07963d5f901e
- Size of remote file:
- 217 MB
- SHA256:
- 7123355d4d3c86a2e0994a8ea1631350531cee7a625d3e136fd798db0578dfae
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