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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from projecte-aina/roberta-base-ca-v2-cased-wikicat-ca: direct link, hf CLI and curl.
- Browser
- Download file 2.21 MB
-
https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-wikicat-ca/resolve/main/tokenizer.json
- Command line
-
hf download hf://projecte-aina/roberta-base-ca-v2-cased-wikicat-ca/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-wikicat-ca/resolve/main/tokenizer.json
2.21 MB
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