Instructions to use flax-community/bertin-roberta-large-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/bertin-roberta-large-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/bertin-roberta-large-spanish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/bertin-roberta-large-spanish") model = AutoModelForMaskedLM.from_pretrained("flax-community/bertin-roberta-large-spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 919828d259d2ebd048a83e55b915a8d6ae42798d20e1cef566da140f8fdf7e9e
- Size of remote file:
- 250 MB
- SHA256:
- 56ca1289076232c4b3cf6633837d1d4bef973aa7dcd1330f193d5f27e1a3821a
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