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
updating all configs, adding both fast and legacy tokenizers, also adding tensorflow checkpoint for compatibility
48e7313 - Xet hash:
- 01d4cea3b6afe4e35bce882c5b04d8d007d9146014f02592fc57e037ee0fe542
- Size of remote file:
- 537 MB
- SHA256:
- 1e063ca12f1e498b5ee57137365f3474ee10ef9d38bb26620cb022bddc0a026d
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