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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from projecte-aina/roberta-base-ca-cased-te: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/projecte-aina/roberta-base-ca-cased-te/resolve/02a56821f3990b7ef70eca546928431d62543388/README.md
- Command line
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hf download hf://projecte-aina/roberta-base-ca-cased-te@02a56821f3990b7ef70eca546928431d62543388/README.md
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curl -L -o README.md https://huggingface.co/projecte-aina/roberta-base-ca-cased-te/resolve/02a56821f3990b7ef70eca546928431d62543388/README.md
0 Bytes