Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use raulgdp/xml-roberta-tass-2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/xml-roberta-tass-2026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raulgdp/xml-roberta-tass-2026")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raulgdp/xml-roberta-tass-2026") model = AutoModelForSequenceClassification.from_pretrained("raulgdp/xml-roberta-tass-2026", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5ec463144c6e0060bcb4e9e73fd47716918a43c46696ad59fcbd9c580964153
- Size of remote file:
- 17.1 MB
- SHA256:
- 3c088c06cf975b7097e469bd69630cdb0d675c6db1ce3af1042b6e19c6d01f22
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