Instructions to use orisuchy/Descriptive_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orisuchy/Descriptive_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orisuchy/Descriptive_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orisuchy/Descriptive_Classifier") model = AutoModelForSequenceClassification.from_pretrained("orisuchy/Descriptive_Classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ widget:
|
|
| 9 |
datasets:
|
| 10 |
- orisuchy/Descriptive_Sentences_He
|
| 11 |
metrics:
|
| 12 |
-
-
|
| 13 |
---
|
| 14 |
# **Descriptive Sentences Classifier**
|
| 15 |
|
|
|
|
| 9 |
datasets:
|
| 10 |
- orisuchy/Descriptive_Sentences_He
|
| 11 |
metrics:
|
| 12 |
+
- accuracy
|
| 13 |
---
|
| 14 |
# **Descriptive Sentences Classifier**
|
| 15 |
|