Instructions to use user-anto/bert-emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use user-anto/bert-emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="user-anto/bert-emotion-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("user-anto/bert-emotion-classifier") model = AutoModelForSequenceClassification.from_pretrained("user-anto/bert-emotion-classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -17,13 +17,11 @@ tags: []
|
|
| 17 |
|
| 18 |
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 19 |
|
| 20 |
-
- **Developed by:** [
|
| 21 |
-
- **
|
| 22 |
-
- **
|
| 23 |
-
- **
|
| 24 |
-
- **
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
|
| 28 |
### Model Sources [optional]
|
| 29 |
|
|
|
|
| 17 |
|
| 18 |
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 19 |
|
| 20 |
+
- **Developed by:** [Anto,Eswar,Subashish]
|
| 21 |
+
- **Model type:** [Transformers]
|
| 22 |
+
- **Language(s) (NLP):** [English]
|
| 23 |
+
- **License:** [MIT]
|
| 24 |
+
- **Finetuned from model [optional]:** [BERT-Base]
|
|
|
|
|
|
|
| 25 |
|
| 26 |
### Model Sources [optional]
|
| 27 |
|