Instructions to use vikp/surya_rec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/surya_rec2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vikp/surya_rec2") model = AutoModel.from_pretrained("vikp/surya_rec2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baba5bbc33dcd47eb9a6ecc87a9e56b070e373936f292488069f4110a73945ac
- Size of remote file:
- 941 MB
- SHA256:
- 9a75b64cbeaed06820559bcda4e12c1235de62b5bce787d57cf56a9c3a7123d1
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