Instructions to use ClassCat/roberta-base-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClassCat/roberta-base-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ClassCat/roberta-base-spanish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ClassCat/roberta-base-spanish") model = AutoModelForMaskedLM.from_pretrained("ClassCat/roberta-base-spanish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 118c2f8ee25d7d76bea572070fa6d4b82879fa659483750b641ff0a60a9fb001
- Size of remote file:
- 498 MB
- SHA256:
- 5f7e977a78cde608f6c43c173fac8f90a8f9746a7f861900de04a580c319c97a
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