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:
- 79ccfd3826f4452ce941a72f7eb284d8346baedb58c44d0a9a08464272cda6a8
- Size of remote file:
- 5.2 kB
- SHA256:
- 4d2d6e4e8d7436fb105285797a72b7bb2c67bbbdb09cd2a9d216302796508c3f
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