Instructions to use hungphongtrn/midflowlm-phase2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungphongtrn/midflowlm-phase2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hungphongtrn/midflowlm-phase2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2a15ab490dd0a95d25d07abc0a6eaf73dd816a44ebaaeb434ac6075722a8546
- Size of remote file:
- 5.46 kB
- SHA256:
- b3ecb3e5368ad808dadf4b3136873d13644b4248522009f5144fa3faa0b21267
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