Instructions to use avichr/hebEMO_trust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avichr/hebEMO_trust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avichr/hebEMO_trust")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avichr/hebEMO_trust") model = AutoModelForSequenceClassification.from_pretrained("avichr/hebEMO_trust") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -103,14 +103,13 @@ The Coller Semitic Languages AI Lab <br>
|
|
| 103 |
Thank you, תודה, شكرا <br>
|
| 104 |
|
| 105 |
## If you used this model please cite us as :
|
| 106 |
-
Chriqui, A., & Yahav, I. (
|
| 107 |
```
|
| 108 |
@article{chriqui2021hebert,
|
| 109 |
title={HeBERT \& HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition},
|
| 110 |
author={Chriqui, Avihay and Yahav, Inbal},
|
| 111 |
-
journal={
|
| 112 |
-
year={
|
| 113 |
}
|
| 114 |
```
|
| 115 |
|
| 116 |
-
|
|
|
|
| 103 |
Thank you, תודה, شكرا <br>
|
| 104 |
|
| 105 |
## If you used this model please cite us as :
|
| 106 |
+
Chriqui, A., & Yahav, I. (2022). HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition. INFORMS Journal on Data Science, forthcoming.
|
| 107 |
```
|
| 108 |
@article{chriqui2021hebert,
|
| 109 |
title={HeBERT \& HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition},
|
| 110 |
author={Chriqui, Avihay and Yahav, Inbal},
|
| 111 |
+
journal={INFORMS Journal on Data Science},
|
| 112 |
+
year={2022}
|
| 113 |
}
|
| 114 |
```
|
| 115 |
|
|
|