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
- Xet hash:
- 70fa4a982c91ab0ec734c9e8d59260ccee0ea83f08dcb4098c91f78b01feb4f1
- Size of remote file:
- 443 MB
- SHA256:
- 087258b8b249bad8149d301798c86bfb2d1a8a7e2f2a51de8a56af8bd1ede895
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