Instructions to use mmukh/SOBertBase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmukh/SOBertBase with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mmukh/SOBertBase", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ae657de296693f5e861ac2c46bcab18370d398e12da09bcb07803b96d5bfd1b
- Size of remote file:
- 1.76 GB
- SHA256:
- db2ba1e0d4abf12cfeb003230daeac38a4b0fe8dba61edb0c682e26ba45a7b46
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