Text Classification
Transformers
Safetensors
bert
mbert
urdu
sentiment-analysis
text-embeddings-inference
Instructions to use arifa-batool/urdu-sentiment-analysis-mbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arifa-batool/urdu-sentiment-analysis-mbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arifa-batool/urdu-sentiment-analysis-mbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arifa-batool/urdu-sentiment-analysis-mbert") model = AutoModelForSequenceClassification.from_pretrained("arifa-batool/urdu-sentiment-analysis-mbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbe20ed1abdd7ba844fc11f81e620899fd54df72c3b59e9861952d53b909a040
- Size of remote file:
- 5.27 kB
- SHA256:
- fc511801b4a37a984542594842a055c11ecc553fe984b3ca07b0a2fba1c67546
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