Instructions to use Geotrend/bert-base-en-fr-de-no-da-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-fr-de-no-da-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-fr-de-no-da-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-fr-de-no-da-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-fr-de-no-da-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7773302fa0093e0b9bb21e7c0a53e53bebccd7a48b1bc9e810902d0a15f82085
- Size of remote file:
- 473 MB
- SHA256:
- 620919d13db1a173c8ba337e20cffc4236f8da93d6b6b85ccd7e265c47ca9a77
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.