Instructions to use saadMouraf/bert-based-emotion-detection-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saadMouraf/bert-based-emotion-detection-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saadMouraf/bert-based-emotion-detection-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("saadMouraf/bert-based-emotion-detection-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": { | |
| "name": "bert-based-emotion-detection-ar", | |
| "description": "Arabic emotion detection model based on BERT.", | |
| "tokenizer": "aubmindlab/bert-large-arabertv02-twitter", | |
| "model": "saadMouraf/bert-based-emotion-detection-ar" | |
| }, | |
| "transformers_version": "4.10.2", | |
| "framework": "tensorflow" | |
| } | |