Instructions to use vblagoje/retribert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vblagoje/retribert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vblagoje/retribert-base-uncased")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vblagoje/retribert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0870404a863a6933f16df392ba1828c640ee4ed1c1b73ab9bd0a3fead4026e9
- Size of remote file:
- 325 MB
- SHA256:
- 6d9d2373335e72d7f62e0e6e94b366787d49dd68c9d4ca9897c433eb04621601
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