Text Classification
Transformers
Safetensors
PyTorch
PEFT
English
roberta
multi-label
emotion-detection
reddit
go_emotions
huggingface
accelerate
Eval Results (legacy)
text-embeddings-inference
Instructions to use Amirhossein75/multi-label-emotion-classification-reddit-comments-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhossein75/multi-label-emotion-classification-reddit-comments-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Amirhossein75/multi-label-emotion-classification-reddit-comments-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Amirhossein75/multi-label-emotion-classification-reddit-comments-roberta") model = AutoModelForSequenceClassification.from_pretrained("Amirhossein75/multi-label-emotion-classification-reddit-comments-roberta") - PEFT
How to use Amirhossein75/multi-label-emotion-classification-reddit-comments-roberta with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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