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
- Xet hash:
- a97acb912bf69eea9a513dc44b2e5fd4a94f7b14a8d0d5c4d0d5492d57f2d935
- Size of remote file:
- 499 MB
- SHA256:
- d63e5d5fda30aff87098d8861067d65220377b6fc17bca1e13615273793aeee1
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