Instructions to use matth/flowformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matth/flowformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("matth/flowformer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 930e9eb7d206138781e1e0cdefa6e5a121d6ffc85ad8ccd8c009ad8be1711e14
- Size of remote file:
- 140 kB
- SHA256:
- 2338a4f355efd4f48b7776dc4c5a19eb6aad4ed4351256b68953a9ef1711b9f1
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