Text Classification
Transformers
PyTorch
English
roberta
emotion-classification
multi-label-classification
goemotions
sentiment-analysis
focal-loss
threshold-optimization
Instructions to use Lakssssshya/roberta-large-goemotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakssssshya/roberta-large-goemotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lakssssshya/roberta-large-goemotions")# Load model directly from transformers import AutoTokenizer, RobertaForMultiLabelClassification tokenizer = AutoTokenizer.from_pretrained("Lakssssshya/roberta-large-goemotions") model = RobertaForMultiLabelClassification.from_pretrained("Lakssssshya/roberta-large-goemotions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 9 months ago
by
SFconvertbot