Instructions to use Sumedhzz/Sentiment-Analyzer-Quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sumedhzz/Sentiment-Analyzer-Quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sumedhzz/Sentiment-Analyzer-Quantized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sumedhzz/Sentiment-Analyzer-Quantized") model = AutoModelForSequenceClassification.from_pretrained("Sumedhzz/Sentiment-Analyzer-Quantized") - Notebooks
- Google Colab
- Kaggle
Sumedh satish gajbhiye commited on
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,7 +7,5 @@ tags:
|
|
| 7 |
- sentiment-analysis
|
| 8 |
- hinglish
|
| 9 |
- onnx
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
This model performs sentiment analysis on Hinglish text.
|
|
|
|
| 7 |
- sentiment-analysis
|
| 8 |
- hinglish
|
| 9 |
- onnx
|
| 10 |
+
inference: true
|
| 11 |
+
---
|
|
|
|
|
|