Instructions to use Rhasan97/squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rhasan97/squad with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Rhasan97/squad") model = AutoModelForMultimodalLM.from_pretrained("Rhasan97/squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0ce0a089f10a79fbb534d32688bd72b68f4e58701da0b74597e7198e747d89a
- Size of remote file:
- 726 MB
- SHA256:
- cbb24168beb6cbcb2e0b484359e43705cafc30ea04d843ee6b1257476e5ac735
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.