Text Classification
Transformers
ONNX
English
roberta
fp16
emotions
multi-class-classification
multi-label-classification
optimum
text-embeddings-inference
Instructions to use joaopn/roberta-base-go_emotions-onnx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaopn/roberta-base-go_emotions-onnx-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joaopn/roberta-base-go_emotions-onnx-fp16")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joaopn/roberta-base-go_emotions-onnx-fp16") model = AutoModelForSequenceClassification.from_pretrained("joaopn/roberta-base-go_emotions-onnx-fp16") - Notebooks
- Google Colab
- Kaggle
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