Text Classification
Transformers
Safetensors
Bengali
electra
bangla
bangla-classifier
binary-classifier
text-classifier
Instructions to use SayedShaun/bangla-classifier-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SayedShaun/bangla-classifier-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SayedShaun/bangla-classifier-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SayedShaun/bangla-classifier-binary") model = AutoModelForSequenceClassification.from_pretrained("SayedShaun/bangla-classifier-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc1f9b24c22ec632ba39b569a36449f95767fd958fc0a485c146e23806302419
- Size of remote file:
- 442 MB
- SHA256:
- f638643e131fdb66c3b660caad2ba03385400e6b38e32cd21daf875f5b0410aa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.