Instructions to use AAyano/oft_setting1_chunksize25_batch32_20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AAyano/oft_setting1_chunksize25_batch32_20k with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("AAyano/oft_setting1_chunksize25_batch32_20k", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 897a364c139c59bcf79d1952e27f6ddb5000588aae5c94e92f1a2b27e9996110
- Size of remote file:
- 4.93 GB
- SHA256:
- 72aaed08a04ecefc2403c959aa4bbf2092aef8553bc28a1fc63befdac78e507f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.