Instructions to use SzegedAI/bert-base5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-base5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SzegedAI/bert-base5M")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-base5M") model = AutoModel.from_pretrained("SzegedAI/bert-base5M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aeae47533d55d982b33f36050aec0d2e05e7ffd2b048f8f6147976e118947e4
- Size of remote file:
- 433 MB
- SHA256:
- 2cfd181b038ed81c4490e4e27fae26ed44fc2b5606fc7d06f633bd32fbe9b447
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