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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8221d5452ad14469450e9621d8726340b21d840cb891633bada88d4addb4905e
- Size of remote file:
- 440 MB
- SHA256:
- 35e840616b33da22f56f5cc5beb5558338f9f2c1e854ea6a0d7a22b4add8074a
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