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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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updating all configs, adding both fast and legacy tokenizers, also adding tensorflow checkpoint for compatibility
27c33d2
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Update pytorch_model.bin
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