Instructions to use Geotrend/bert-base-en-ro-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-ro-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-ro-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-ro-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-ro-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-en-ro-cased: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/Geotrend/bert-base-en-ro-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-en-ro-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-en-ro-cased/resolve/main/flax_model.msgpack
443 MB
- Xet hash:
- f2a02c465eb2a304d88c4a189cae616390ab62567d842dbeee8ece12bc0eb11d
- Size of remote file:
- 443 MB
- SHA256:
- 80a1291a2ad0294416bdd2e31e98907205b9054a02a204e4c86e207a383cc0c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.