Instructions to use Geotrend/bert-base-ur-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-ur-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-ur-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-ur-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-ur-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-ur-cased: direct link, hf CLI and curl.
- Browser
- Download file 371 MB
-
https://huggingface.co/Geotrend/bert-base-ur-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-ur-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-ur-cased/resolve/main/flax_model.msgpack
371 MB
- Xet hash:
- 6e57dab8f9bb780040f4b71b017ec7dec35f3d8f180379600501ec4456393130
- Size of remote file:
- 371 MB
- SHA256:
- 78f15a4546a180292fc2337833941e126c372fe14ffdaacb3b2d24cb2f83124f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.