Text Classification
Transformers
TensorFlow
ONNX
German
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use ml-projects/clickbait-ml_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml-projects/clickbait-ml_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ml-projects/clickbait-ml_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ml-projects/clickbait-ml_bert") model = AutoModelForSequenceClassification.from_pretrained("ml-projects/clickbait-ml_bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
eb7a2de
1
Parent(s): 57c64d5
Upload model_quantized.onnx
Browse files
onnx/model_quantized.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5bc6f95f487ffe723a0c555b689a46f6055f4ba03a3498fa5fd819360bd90b84
|
| 3 |
+
size 436871980
|