Text Classification
Transformers
Safetensors
code
roberta
feature-extraction
multi-task
structured-data
code-quality
content-type
regression
classification
starcoderdata
text-embeddings-inference
Instructions to use mdonigian/code-curator-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdonigian/code-curator-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mdonigian/code-curator-v1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mdonigian/code-curator-v1") model = AutoModel.from_pretrained("mdonigian/code-curator-v1") - Notebooks
- Google Colab
- Kaggle