Instructions to use SzegedAI/bert-mini5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-mini5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SzegedAI/bert-mini5M")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-mini5M") model = AutoModel.from_pretrained("SzegedAI/bert-mini5M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e15fd4cd7950b481f2650f5bf1bcf608e165188e217634253d2f43ebc1c3a4b3
- Size of remote file:
- 43.1 MB
- SHA256:
- fb295339b6cfd03cfe3069590351827d8315c297a3111a676e93c19e1f81a87c
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