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
Update README.md
Browse files
README.md
CHANGED
|
@@ -55,8 +55,6 @@ widget:
|
|
| 55 |
|
| 56 |
# Catalan BERTa-v2 (roberta-base-ca-v2) finetuned for Part-of-speech-tagging (POS)
|
| 57 |
|
| 58 |
-
## Table of Contents
|
| 59 |
-
|
| 60 |
## Table of Contents
|
| 61 |
<details>
|
| 62 |
<summary>Click to expand</summary>
|
|
|
|
| 55 |
|
| 56 |
# Catalan BERTa-v2 (roberta-base-ca-v2) finetuned for Part-of-speech-tagging (POS)
|
| 57 |
|
|
|
|
|
|
|
| 58 |
## Table of Contents
|
| 59 |
<details>
|
| 60 |
<summary>Click to expand</summary>
|