Text Classification
Transformers
PyTorch
TensorBoard
Bengali
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ka05ar/bert-base-multilingual-cased-VITD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ka05ar/bert-base-multilingual-cased-VITD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ka05ar/bert-base-multilingual-cased-VITD")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ka05ar/bert-base-multilingual-cased-VITD") model = AutoModelForSequenceClassification.from_pretrained("ka05ar/bert-base-multilingual-cased-VITD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
model card
0d119bf -
model card updated
2ae8dbe
-
update model card README.md
838a908 -
End of training
b7d65b6 -
Training in progress, step 1500
0d363fa -
Training in progress, step 1000
fa73849 -
Training in progress, step 500
8ac4509 -
initial commit
f2491d7