Text Classification
Transformers
Safetensors
Bengali
electra
bangla
bangla-classifier
multiclass-classifier
text-classifier
Instructions to use SayedShaun/bangla-classifier-multiclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SayedShaun/bangla-classifier-multiclass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SayedShaun/bangla-classifier-multiclass")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SayedShaun/bangla-classifier-multiclass") model = AutoModelForSequenceClassification.from_pretrained("SayedShaun/bangla-classifier-multiclass", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -33,7 +33,7 @@ pipe = pipeline("text-classification", model="SayedShaun/bangla-classifier-multi
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response = pipe("ডেলিভারি ম্যান খুব যত্ন সহকারে পণ্যটি ডেলিভারি করেছে")
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print(response)
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```
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## Tags
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response = pipe("ডেলিভারি ম্যান খুব যত্ন সহকারে পণ্যটি ডেলিভারি করেছে")
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print(response)
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>>> [{'label': 'LABEL_0', 'score': 0.9503920674324036}]
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```
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## Tags
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