Instructions to use Groovy-123/QuantumAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Groovy-123/QuantumAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Groovy-123/QuantumAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Groovy-123/QuantumAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - Groovy-123/QuantumAI | |
| language: | |
| - ak | |
| - fr | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - Groovy-123/QuantumAI | |
| pipeline_tag: text-classification | |
| library_name: transformers | |
| tags: | |
| - chemistry | |
| - biology | |
| - finance | |
| - legal | |
| - code | |