Instructions to use kabir5297/BanglaPunctuationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabir5297/BanglaPunctuationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kabir5297/BanglaPunctuationModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kabir5297/BanglaPunctuationModel") model = AutoModelForTokenClassification.from_pretrained("kabir5297/BanglaPunctuationModel") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ebdf5b787b32eb146a28a3c1a53708f4f5a2bf086c8e61989572f7e26b91a002
|
| 3 |
+
size 947902376
|