Token Classification
Transformers
PyTorch
Catalan
roberta
catalan
part of speech tagging
pos
CaText
Catalan Textual Corpus
Eval Results (legacy)
Instructions to use projecte-aina/roberta-base-ca-v2-cased-pos 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-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="projecte-aina/roberta-base-ca-v2-cased-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-v2-cased-pos") model = AutoModelForTokenClassification.from_pretrained("projecte-aina/roberta-base-ca-v2-cased-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec06ad7b7f166e274d6c3de7fad9ab6943d0e3a89b514a98eca9b82d423fdc95
- Size of remote file:
- 496 MB
- SHA256:
- 1c5305f84db885bba3955e10b01ce95deb7bea9e5e6b95e4f573c7e1cadba1c8
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