Instructions to use dccuchile/distilbert-base-spanish-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/distilbert-base-spanish-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dccuchile/distilbert-base-spanish-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dccuchile/distilbert-base-spanish-uncased") model = AutoModelForMaskedLM.from_pretrained("dccuchile/distilbert-base-spanish-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0695485fe5bd60c2e3215f544fea49c2ddd44149ce65f7d4cae9c3971ba5f3e6
- Size of remote file:
- 269 MB
- SHA256:
- d96573c3d55533614fcf32354279ff6ed96d805dcde993c213667d5bed7b6f8d
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