Text Classification
Transformers
PyTorch
Safetensors
English
roberta
emotions
multi-class-classification
multi-label-classification
text-embeddings-inference
Instructions to use SamLowe/roberta-base-go_emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamLowe/roberta-base-go_emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamLowe/roberta-base-go_emotions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamLowe/roberta-base-go_emotions") model = AutoModelForSequenceClassification.from_pretrained("SamLowe/roberta-base-go_emotions") - Inference
- Notebooks
- Google Colab
- Kaggle
Request: DOI
#7
by brittegenzlinger - opened
I would like to cite this model in a paper
Thanks @brittegenzlinger - I have added a DOI using the built-in HF generator (https://doi.org/10.57967/hf/3548) - looking forward to seeing the paper
Thanks so much! I'll link it if it gets published.
brittegenzlinger changed discussion status to closed