Instructions to use Deepchecks/roberta_base_formality_ranker_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deepchecks/roberta_base_formality_ranker_onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Deepchecks/roberta_base_formality_ranker_onnx")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Deepchecks/roberta_base_formality_ranker_onnx") model = AutoModelForSequenceClassification.from_pretrained("Deepchecks/roberta_base_formality_ranker_onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
2fbbcea -
Update README.md
3a02dd4 -
Update README.md
75a71a1 -
Update README.md
fd79161 -
Updated Readme.md
c569252
-
Uploaded the ONNX optimized model for Formality (GPUs)
c13e79b -
initial commit
b9e51ec