Text Classification
Transformers
Safetensors
distilbert
spam-detection
sms
text-embeddings-inference
Instructions to use alusci/distilbert-smsafe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alusci/distilbert-smsafe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alusci/distilbert-smsafe")# Load model directly from transformers import AutoTokenizer, WeightedLossBERT tokenizer = AutoTokenizer.from_pretrained("alusci/distilbert-smsafe") model = WeightedLossBERT.from_pretrained("alusci/distilbert-smsafe") - Notebooks
- Google Colab
- Kaggle
Upload WeightedLossBERT
Browse files
README.md
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
tags:
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
license: apache-2.0
|
| 8 |
---
|
| 9 |
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
tags:
|
| 4 |
+
- text-classification
|
| 5 |
+
- spam-detection
|
| 6 |
+
- sms
|
| 7 |
license: apache-2.0
|
| 8 |
---
|
| 9 |
|