Text Classification
Transformers
PyTorch
Safetensors
English
roberta
formality
text-embeddings-inference
Instructions to use cointegrated/roberta-base-formality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/roberta-base-formality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cointegrated/roberta-base-formality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cointegrated/roberta-base-formality") model = AutoModelForSequenceClassification.from_pretrained("cointegrated/roberta-base-formality") - Notebooks
- Google Colab
- Kaggle
Commit ·
54cabce
1
Parent(s): 7787b6b
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (f5831515a4c9a45c86b6ac85b38e4668c1c2b7bc)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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