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 tf_model.h5 from Geotrend/bert-base-10lang-cased: direct link, hf CLI and curl.
- Browser
- Download file 760 MB
-
https://huggingface.co/Geotrend/bert-base-10lang-cased/resolve/main/tf_model.h5
- Command line
-
hf download hf://Geotrend/bert-base-10lang-cased/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Geotrend/bert-base-10lang-cased/resolve/main/tf_model.h5
760 MB
- Xet hash:
- 255a2cc7130edc79747f55236b2cb01aa1c488d5e094ad7a8fe5411e054ce8f4
- Size of remote file:
- 760 MB
- SHA256:
- 173f8ae0ea06432a465fa42762c8d1e1f3d36876b9cf89374ee21a5acf40281d
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