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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## Training data
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The model was trained on `UniversalCEFR/caes_es`, a Spanish dataset of learner texts with CEFR annotations. The dataset
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## Evaluation
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## Training data
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The model was trained on `UniversalCEFR/caes_es`, a Spanish dataset of learner texts with CEFR annotations. The dataset has 31.1k rows.
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## Evaluation
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