
## Description ℹ

With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets and predicts Ekman's 6 basic emotions, plus a neutral class:

1) anger 🤬
2) disgust 🤢
3) fear 😨
4) joy 😀
5) neutral 😐
6) sadness 😭
7) surprise 😲

The model is a fine-tuned checkpoint of [RoBERTa-large](https://huggingface.co/roberta-large). 

For further details on this emotion model, please refer to the model card of its [DistilRoBERTa](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base) version.
{"language": "en", "tags": ["roberta", "sentiment", "emotion", "twitter", "reddit"], "widget": [{"text": "Oh wow. I didn't know that."}, {"text": "This movie always makes me cry.."}, {"text": "Oh Happy Day"}]}
transformers pytorch roberta text-classification sentiment emotion twitter reddit en autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #roberta #text-classification #sentiment #emotion #twitter #reddit #en #autotrain_compatible #endpoints_compatible #has_space #region-us 


## Description ℹ

With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets and predicts Ekman's 6 basic emotions, plus a neutral class:

1) anger 
2) disgust 
3) fear 
4) joy 
5) neutral 
6) sadness 
7) surprise 

The model is a fine-tuned checkpoint of RoBERTa-large. 

For further details on this emotion model, please refer to the model card of its DistilRoBERTa version.
## Description ℹ

With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets and predicts Ekman's 6 basic emotions, plus a neutral class:

1) anger 
2) disgust 
3) fear 
4) joy 
5) neutral 
6) sadness 
7) surprise 

The model is a fine-tuned checkpoint of RoBERTa-large. 

For further details on this emotion model, please refer to the model card of its DistilRoBERTa version.
TAGS
#transformers #pytorch #roberta #text-classification #sentiment #emotion #twitter #reddit #en #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## Description ℹ

With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets and predicts Ekman's 6 basic emotions, plus a neutral class:

1) anger 
2) disgust 
3) fear 
4) joy 
5) neutral 
6) sadness 
7) surprise 

The model is a fine-tuned checkpoint of RoBERTa-large. 

For further details on this emotion model, please refer to the model card of its DistilRoBERTa version.
passage: TAGS
#transformers #pytorch #roberta #text-classification #sentiment #emotion #twitter #reddit #en #autotrain_compatible #endpoints_compatible #has_space #region-us 
## Description ℹ

With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets and predicts Ekman's 6 basic emotions, plus a neutral class:

1) anger 
2) disgust 
3) fear 
4) joy 
5) neutral 
6) sadness 
7) surprise 

The model is a fine-tuned checkpoint of RoBERTa-large. 

For further details on this emotion model, please refer to the model card of its DistilRoBERTa version.