Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use raulgdp/xml-roberta-sarcasmo-spanish-2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/xml-roberta-sarcasmo-spanish-2026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raulgdp/xml-roberta-sarcasmo-spanish-2026")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raulgdp/xml-roberta-sarcasmo-spanish-2026") model = AutoModelForSequenceClassification.from_pretrained("raulgdp/xml-roberta-sarcasmo-spanish-2026", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ecf2b3dd78018d6a74d466589833e731e46d6ca15c4e39f21f94364b477a2dd
- Size of remote file:
- 5.78 kB
- SHA256:
- 15ccb2199bcc0c921ed664c37256575a8d434ef08c69acdfed58019570734900
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