Instructions to use Geotrend/bert-base-15lang-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-15lang-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-15lang-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-15lang-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-15lang-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-15lang-cased: direct link, hf CLI and curl.
- Browser
- Download file 564 MB
-
https://huggingface.co/Geotrend/bert-base-15lang-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-15lang-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-15lang-cased/resolve/main/flax_model.msgpack
564 MB
- Xet hash:
- 59e2aa14e7280b4a57a60e63bf2e0bceadb4ce6e57922cd00296ce237ca24e74
- Size of remote file:
- 564 MB
- SHA256:
- 378f3f98bffdf993e20d40a3c2d084b891fa6e7a1668af251f83a104a2f5c5d0
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