Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment") model = AutoModelForSequenceClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment") - Inference
- Notebooks
- Google Colab
- Kaggle
Can we do the i‘rab for Arabic sentence?"
#5 opened 9 months ago
by
AbodiNajdat
[AUTOMATED] Model Memory Requirements
#4 opened about 2 years ago
by
model-sizer-bot
Adding `safetensors` variant of this model
#2 opened about 2 years ago
by
Fahrrader
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot