Instructions to use Geotrend/bert-base-10lang-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-10lang-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-10lang-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-10lang-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-10lang-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-10lang-cased: direct link, hf CLI and curl.
- Browser
- Download file 551 MB
-
https://huggingface.co/Geotrend/bert-base-10lang-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-10lang-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-10lang-cased/resolve/main/flax_model.msgpack
551 MB
- Xet hash:
- add626b5826161664438d4d5012d4348bcac23c90ffef667073bf82da04efb40
- Size of remote file:
- 551 MB
- SHA256:
- 46ac138cbf2e19d7b24646b517c7cf1dba6e8c009b28a25d40d7a2405a98b07c
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