Instructions to use dccuchile/bert-base-spanish-wwm-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/bert-base-spanish-wwm-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dccuchile/bert-base-spanish-wwm-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dccuchile/bert-base-spanish-wwm-cased") model = AutoModelForMaskedLM.from_pretrained("dccuchile/bert-base-spanish-wwm-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
updating all configs, adding both fast and legacy tokenizers, also adding tensorflow checkpoint for compatibility
48e7313 - Xet hash:
- 7a5de5a3a6215f99d6daf909bb12cbc14548c44e4c2e06baae8204b9b9895267
- Size of remote file:
- 440 MB
- SHA256:
- e131a95091c777bbd45250fb647fec415010cb8cd1ad6e1d59babeb82a0be360
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