Text Classification
Transformers
PyTorch
Catalan
roberta
catalan
teca
CaText
Catalan Textual Corpus
Eval Results (legacy)
text-embeddings-inference
Instructions to use projecte-aina/roberta-base-ca-cased-te with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-cased-te with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="projecte-aina/roberta-base-ca-cased-te")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-cased-te") model = AutoModelForSequenceClassification.from_pretrained("projecte-aina/roberta-base-ca-cased-te") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 303e8fd
Update README.md ad2da88
update readme 20eea0e
Update README.md d888a1b
Update README.md d83c714
Update README.md 2ed280f
Update README.md 6e5a744
Update README.md 39ca1ad
Update README.md f79f64e
Update README.md 046dfb6
bsc-temu commited on
Update README.md 00d1b7c
bsc-temu commited on
Update README.md c1ca154
bsc-temu commited on
Delete all_results.json 36f69ee
bsc-temu commited on
Update README.md 916d076
Update README.md 89875f3
Update README.md d1a4c9e
Delete train_results.json 6fc3b34
bsc-temu commited on
Delete eval_results.json 146f347
bsc-temu commited on