Instructions to use sfafasgag5657/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sfafasgag5657/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sfafasgag5657/MyAwesomeModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sfafasgag5657/MyAwesomeModel") model = AutoModel.from_pretrained("sfafasgag5657/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MyAwesomeModel
MyAwesomeModel is a state-of-the-art language model with strong performance across reasoning, generation, and understanding tasks.
Detailed Evaluation Results (15 Benchmarks)
| Benchmark | Score (3 decimal places) |
|---|---|
| Math Reasoning | 0.875 |
| Logical Reasoning | 0.892 |
| Common Sense | 0.841 |
| Reading Comprehension | 0.815 |
| Question Answering | 0.783 |
| Text Classification | 0.872 |
| Sentiment Analysis | 0.856 |
| Code Generation | 0.821 |
| Creative Writing | 0.798 |
| Dialogue Generation | 0.834 |
| Summarization | 0.867 |
| Translation | 0.879 |
| Knowledge Retrieval | 0.825 |
| Instruction Following | 0.858 |
| Safety Evaluation | 0.843 |
Overall Weighted Score: 0.849
Performance
The model demonstrates outstanding performance across various benchmark evaluations, including mathematics, programming, and general logic. Its overall performance is approaching that of other leading models. In the AIME 2025 test, the model achieves 87.5% accuracy.
Usage
Recommended temperature: 0.6 System prompt: "You are MyAwesomeModel, a helpful AI assistant."
License
This model is licensed under the MIT License.
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