Instructions to use Geotrend/bert-base-en-ur-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-ur-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-ur-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-ur-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-ur-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e99ae207aec70b85c6ec9149147be920a4d3b9532ad43ba254b63fe8d90b2e94
- Size of remote file:
- 441 MB
- SHA256:
- a2e99e39bd95880a77c37a35364f3309a33498f0494596f669e07a1339dc7e7f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.