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:
- 5f4cc844998e3f0c8f527b8497bcd6fcffb1bb78cd7b11187657af8551c61188
- Size of remote file:
- 44.8 MB
- SHA256:
- 3508c6f740daa8ec3f4c6395f5f0a8ef07d889f81d20c3f947147e453cda4430
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