Instructions to use SzegedAI/bert-medium5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-medium5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SzegedAI/bert-medium5M")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-medium5M") model = AutoModel.from_pretrained("SzegedAI/bert-medium5M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b03fa93c7b1a6e9054cf853f852b6d83fd3646d1d68c6b879713a677c5e97d05
- Size of remote file:
- 162 MB
- SHA256:
- 323eb200cd85ebed3c9a46c71630f7855096de159c67535e57b599a94056a6f0
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