Instructions to use dccuchile/bert-base-spanish-wwm-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/bert-base-spanish-wwm-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dccuchile/bert-base-spanish-wwm-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dccuchile/bert-base-spanish-wwm-uncased") model = AutoModelForMaskedLM.from_pretrained("dccuchile/bert-base-spanish-wwm-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
updating all configs, adding both fast and legacy tokenizers, also adding tensorflow checkpoint for compatibility
27c33d2 - Xet hash:
- bb900e92cf3840f2492e216ef54363a8290be77474365f5e6b602c032a82db0c
- Size of remote file:
- 440 MB
- SHA256:
- 5480283d2ac26ac36df538fa5c12412b89ff176db693d00e71735200d9e0e99b
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