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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:e90154ce538a07a60792aed260d06d085a764b76373cb66d1becc6368122b313
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size 651399264
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