Instructions to use Geotrend/bert-base-en-bg-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-bg-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-bg-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-bg-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-bg-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef2a1b6f9ee9d25fdd997b5d101eec87c76f9bb1488a67f333e2c0a4e922a6f1
- Size of remote file:
- 451 MB
- SHA256:
- 7b4e1470a3827a4a7703d7c86533409c6a404186b94b6e337adf5738af615c01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.