Instructions to use asfafagf45/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asfafagf45/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asfafagf45/MyAwesomeModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("asfafagf45/MyAwesomeModel") model = AutoModel.from_pretrained("asfafagf45/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Polish README: all 15 benchmarks reported at 3-decimal precision + overall eval_accuracy=0.710
Browse files
README.md
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### Overall Performance Summary
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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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**Overall `eval_accuracy` (weighted):** **0.710** (checkpoint `step_1000`).
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The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories (all 15 tasks reported at 3-decimal precision above), 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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