Text Classification
Transformers
PyTorch
Catalan
roberta
catalan
text classification
WikiCAT_ca
CaText
Catalan Textual Corpus
Eval Results (legacy)
text-embeddings-inference
Instructions to use projecte-aina/roberta-base-ca-v2-cased-wikicat-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-v2-cased-wikicat-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="projecte-aina/roberta-base-ca-v2-cased-wikicat-ca")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-v2-cased-wikicat-ca") model = AutoModelForSequenceClassification.from_pretrained("projecte-aina/roberta-base-ca-v2-cased-wikicat-ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72f90521cf9631644ce55d521602ed18762893867302ae104dc4b381a8a4ad23
- Size of remote file:
- 499 MB
- SHA256:
- 3d1f8dcc97d0db465b53798d0f5ca7cb4dec82cf9bc9ba8ca0e0cfa877aa2f57
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