Text Classification
Transformers
PyTorch
Bengali
albert
collaborative
bengali
SequenceClassification
Instructions to use neuropark/sahajBERT-NCC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuropark/sahajBERT-NCC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuropark/sahajBERT-NCC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("neuropark/sahajBERT-NCC") model = AutoModelForSequenceClassification.from_pretrained("neuropark/sahajBERT-NCC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
AutoNLP Admin commited on
Commit ·
5a29044
1
Parent(s): b6b87ee
Commit From AutoNLP
Browse files- .gitattributes +1 -0
.gitattributes
CHANGED
|
@@ -14,3 +14,4 @@
|
|
| 14 |
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 15 |
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 14 |
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 15 |
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|