# BERTIN-roBERTa-base-Spanish_sem_eval_2018_task_1

This is a [BERTIN-roBERTa-base-Spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) model finetuned on ~3500 tweets in Spanish annotated for 11 emotion categories in [SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification](https://competitions.codalab.org/competitions/17751) (also available on the [Hugging Face Dataset Hub](https://huggingface.co/datasets/sem_eval_2018_task_1)).

To quickly test it locally, use a pipeline:

```python
from transformers import pipeline

pipe = pipeline("text-classification",model="maxpe/bertin-roberta-base-spanish_sem_eval_2018_task_1")

pipe("¡Odio tener tanto estrés!",top_k=11)
```
{}
transformers pytorch roberta text-classification doi:10.57967/hf/0032 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #roberta #text-classification #doi-10.57967/hf/0032 #autotrain_compatible #endpoints_compatible #has_space #region-us 

# BERTIN-roBERTa-base-Spanish_sem_eval_2018_task_1

This is a BERTIN-roBERTa-base-Spanish model finetuned on ~3500 tweets in Spanish annotated for 11 emotion categories in SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification (also available on the Hugging Face Dataset Hub).

To quickly test it locally, use a pipeline:


# BERTIN-roBERTa-base-Spanish_sem_eval_2018_task_1

This is a BERTIN-roBERTa-base-Spanish model finetuned on ~3500 tweets in Spanish annotated for 11 emotion categories in SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification (also available on the Hugging Face Dataset Hub).

To quickly test it locally, use a pipeline:
TAGS
#transformers #pytorch #roberta #text-classification #doi-10.57967/hf/0032 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # BERTIN-roBERTa-base-Spanish_sem_eval_2018_task_1

This is a BERTIN-roBERTa-base-Spanish model finetuned on ~3500 tweets in Spanish annotated for 11 emotion categories in SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification (also available on the Hugging Face Dataset Hub).

To quickly test it locally, use a pipeline:
passage: TAGS
#transformers #pytorch #roberta #text-classification #doi-10.57967/hf/0032 #autotrain_compatible #endpoints_compatible #has_space #region-us 
# BERTIN-roBERTa-base-Spanish_sem_eval_2018_task_1

This is a BERTIN-roBERTa-base-Spanish model finetuned on ~3500 tweets in Spanish annotated for 11 emotion categories in SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification (also available on the Hugging Face Dataset Hub).

To quickly test it locally, use a pipeline: