Instructions to use banglagov/banBERT-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use banglagov/banBERT-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="banglagov/banBERT-Base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("banglagov/banBERT-Base") model = AutoModel.from_pretrained("banglagov/banBERT-Base") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,7 +7,7 @@ tags:
|
|
| 7 |
- mlm
|
| 8 |
- nsp
|
| 9 |
library_name: transformers
|
| 10 |
-
base_model: "banglagov/banBERT-Base"
|
| 11 |
---
|
| 12 |
|
| 13 |
# BERT base model for Bangla
|
|
|
|
| 7 |
- mlm
|
| 8 |
- nsp
|
| 9 |
library_name: transformers
|
| 10 |
+
#base_model: "banglagov/banBERT-Base"
|
| 11 |
---
|
| 12 |
|
| 13 |
# BERT base model for Bangla
|