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 ·
7ddbdb7
1
Parent(s): d05e7ed
Update README.md
Browse files
README.md
CHANGED
|
@@ -29,8 +29,8 @@ Supervision:
|
|
| 29 |
- It is intended for non-commercial usages.
|
| 30 |
|
| 31 |
|
| 32 |
-
## Model best metrics
|
| 33 |
-
|
| 34 |
| Validation | 76.0 |
|
| 35 |
| **Test** | 77.0 |
|
| 36 |
|
|
|
|
| 29 |
- It is intended for non-commercial usages.
|
| 30 |
|
| 31 |
|
| 32 |
+
## Model best metrics
|
| 33 |
+
|
| 34 |
| Validation | 76.0 |
|
| 35 |
| **Test** | 77.0 |
|
| 36 |
|