Instructions to use Sujithanumala/Propaganda_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sujithanumala/Propaganda_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sujithanumala/Propaganda_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sujithanumala/Propaganda_model") model = AutoModelForTokenClassification.from_pretrained("Sujithanumala/Propaganda_model") - 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 sha256:22c9bd2ccf577e0ac3b8d78c058469755160b66e91f3928471e16364ce9f3b59
|
| 3 |
+
size 435652572
|