Text Classification
Transformers
Safetensors
Spanish
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use pymlex/roberta-spanish-cefr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pymlex/roberta-spanish-cefr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pymlex/roberta-spanish-cefr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pymlex/roberta-spanish-cefr") model = AutoModelForSequenceClassification.from_pretrained("pymlex/roberta-spanish-cefr") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: transformers
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license:
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base_model: bertin-project/bertin-roberta-base-spanish
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tags:
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- generated_from_trainer
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library_name: transformers
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license: gpl-3.0
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base_model: bertin-project/bertin-roberta-base-spanish
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tags:
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- generated_from_trainer
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