Instructions to use phunganhsang/multi_task_model_content_freeze_encoder_2048_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/multi_task_model_content_freeze_encoder_2048_8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phunganhsang/multi_task_model_content_freeze_encoder_2048_8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57f850acc05ae8fb9747db746ae73c0b4cae251b322d6cf0b27c20a8e20c96c2
- Size of remote file:
- 5.43 kB
- SHA256:
- aebc310068b03276bf4c6b8a8e5197ed88cf404adb1f1b6341611081c3d2d344
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