Instructions to use dongbobo/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongbobo/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dongbobo/MyAwesomeModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dongbobo/MyAwesomeModel") model = AutoModel.from_pretrained("dongbobo/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Release MyAwesomeModel: best checkpoint (step_1000), completed model card with benchmark results, figures, eval harness + results
Browse files
README.md
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### Overall Performance Summary
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The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.
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## 3. Chat Website & API Platform
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We offer a chat interface and API for you to interact with MyAwesomeModel. Please check our official website for more details.
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### Overall Performance Summary
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The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.
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The released weights correspond to the best-performing checkpoint, `step_1000`, which achieves an overall weighted score of 0.710 across the 15 benchmark categories above.
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## 3. Chat Website & API Platform
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We offer a chat interface and API for you to interact with MyAwesomeModel. Please check our official website for more details.
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