Instructions to use Geotrend/bert-base-en-es-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-es-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-es-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-es-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-es-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (5a6783ca0ffda09a7afda4b310024d9b8ac4cf3c) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>baa2930
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upload flax model
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allow flax
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/Geotrend/bert-base-en-es-cased/README.md4ca367a
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Update tokenizer_config.json
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initial commit
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