Instructions to use aubmindlab/bert-base-arabertv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabertv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabertv2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv2") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv2") - Inference
- Notebooks
- Google Colab
- Kaggle
Sentiement Analysis Labels
#2
by HamTera - opened
Dear,
Could you please let me know where I can find the labeling details for the bert-base-arabertv2 (or bert-large-arabertv2) model? I am interested in performing sentiment analysis on my dataset, which contains positive, negative, and neutral feedback.
Thank you for your assistance.
Hey, This model is not trained for sentiment analysis. Check the library of Camel Tools for sentiment analysis models
wissamantoun changed discussion status to closed
