Text Classification
Transformers
TensorFlow
roberta
generated_from_keras_callback
text-embeddings-inference
Instructions to use braindao/iq-code-supervisor-missing-return-statement-v1-tinyroberta-6l-768d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use braindao/iq-code-supervisor-missing-return-statement-v1-tinyroberta-6l-768d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="braindao/iq-code-supervisor-missing-return-statement-v1-tinyroberta-6l-768d")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("braindao/iq-code-supervisor-missing-return-statement-v1-tinyroberta-6l-768d") model = AutoModelForSequenceClassification.from_pretrained("braindao/iq-code-supervisor-missing-return-statement-v1-tinyroberta-6l-768d") - Notebooks
- Google Colab
- Kaggle