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
- Xet hash:
- d3cda689d6e60fef26071a01f7348074310208f1838496cd64f4551321577bfa
- Size of remote file:
- 440 MB
- SHA256:
- 9acc30a16215ca148db0de17e6680b3b5fee23f35351ef23cc6e23312c16cf9c
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