Text Classification
Transformers
PyTorch
TensorBoard
Bengali
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ka05ar/bangla-bert-base-VITD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ka05ar/bangla-bert-base-VITD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ka05ar/bangla-bert-base-VITD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ka05ar/bangla-bert-base-VITD") model = AutoModelForSequenceClassification.from_pretrained("ka05ar/bangla-bert-base-VITD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5b8c1876139ddf22d3aa5ba20f488d0871378b4439ffb97bd1f9f75ac5ff820
- Size of remote file:
- 658 MB
- SHA256:
- 8ab4998489d00e6e1c13f2daab02277bd74aaec380cfc40acac7c6a233b2ca95
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