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")# pip install -U transformers accelerate # 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
Download vocab.json from projecte-aina/roberta-base-ca-v2-cased-pos: direct link, hf CLI and curl.
- Browser
- Download file 848 kB
-
https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-pos/resolve/main/vocab.json
- Command line
-
hf download hf://projecte-aina/roberta-base-ca-v2-cased-pos/vocab.json
-
curl -L -o vocab.json https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-pos/resolve/main/vocab.json
848 kB
File too large to display, you can check the raw version instead.