Text Classification
Transformers
PyTorch
Arabic
bert
sentiment-analysis
arabic
marbert
twitter
text-embeddings-inference
Instructions to use iMeshal/arabic-sentiment-classifier-marbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iMeshal/arabic-sentiment-classifier-marbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iMeshal/arabic-sentiment-classifier-marbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iMeshal/arabic-sentiment-classifier-marbert") model = AutoModelForSequenceClassification.from_pretrained("iMeshal/arabic-sentiment-classifier-marbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0681ec8320175c679a447718de38b9dfb626ba968a70208887fcb1f2eedbe53
- Size of remote file:
- 4.34 kB
- SHA256:
- c216feb30539978174ca273f5b669f20d7c786cd3f6bb2ce9781640afb65f3cf
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