Instructions to use ScriptEdgeAI/MarathiSentiment-Bloom-560m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ScriptEdgeAI/MarathiSentiment-Bloom-560m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ScriptEdgeAI/MarathiSentiment-Bloom-560m")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ScriptEdgeAI/MarathiSentiment-Bloom-560m") model = AutoModelForSequenceClassification.from_pretrained("ScriptEdgeAI/MarathiSentiment-Bloom-560m") - Notebooks
- Google Colab
- Kaggle
Commit ·
bdc803c
1
Parent(s): 398da5c
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,10 +15,12 @@ widget:
|
|
| 15 |
|
| 16 |
Trained by:
|
| 17 |
- Venkatesh Soni.
|
| 18 |
-
|
|
|
|
| 19 |
Assistance:
|
| 20 |
- Rayansh Srivastava.
|
| 21 |
-
|
|
|
|
| 22 |
Supervision:
|
| 23 |
- Akshay Ugale, Madhukar Alhat.
|
| 24 |
|
|
|
|
| 15 |
|
| 16 |
Trained by:
|
| 17 |
- Venkatesh Soni.
|
| 18 |
+
|
| 19 |
+
|
| 20 |
Assistance:
|
| 21 |
- Rayansh Srivastava.
|
| 22 |
+
|
| 23 |
+
|
| 24 |
Supervision:
|
| 25 |
- Akshay Ugale, Madhukar Alhat.
|
| 26 |
|