Text Classification
Transformers
PyTorch
Spanish
roberta
español
text classification
WikiCAT_esv2
Eval Results (legacy)
Instructions to use PlanTL-GOB-ES/roberta-base-es-wikicat-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PlanTL-GOB-ES/roberta-base-es-wikicat-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PlanTL-GOB-ES/roberta-base-es-wikicat-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PlanTL-GOB-ES/roberta-base-es-wikicat-es") model = AutoModelForSequenceClassification.from_pretrained("PlanTL-GOB-ES/roberta-base-es-wikicat-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2501c5eb3b0cdc7ab868fbdb536b50fdba29b00d87567ee8a651d1f1fe94cb8b
- Size of remote file:
- 499 MB
- SHA256:
- 436d8ef05a35d5bb7ce8941231eeaed88b406f139d1e8ae0b3ec09a0cb457fc1
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