Instructions to use dfdfdgghh677/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dfdfdgghh677/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dfdfdgghh677/MyAwesomeModel-TestRepository")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dfdfdgghh677/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("dfdfdgghh677/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload best checkpoint step_1000 with full 15-benchmark README (3 decimals)
Browse files- README.md +30 -0
- config.json +4 -0
- pytorch_model.bin +3 -0
README.md
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# MyAwesomeModel-TestRepository
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This is the best-checkpoint release of MyAwesomeModel, selected as the checkpoint with the highest evaluation score across all benchmarks.
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- **Selected checkpoint:** `step_1000`
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- **Weighted overall score:** 0.710
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## Evaluation Results
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Detailed results for all 15 benchmark categories (scores to 3 decimal places):
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| # | Benchmark | Score |
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|---|---|---|
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| 1 | math_reasoning | 0.550 |
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| 2 | code_generation | 0.650 |
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| 3 | text_classification | 0.828 |
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| 4 | sentiment_analysis | 0.792 |
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| 5 | question_answering | 0.607 |
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| 6 | logical_reasoning | 0.819 |
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| 7 | common_sense | 0.736 |
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| 8 | reading_comprehension | 0.700 |
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| 9 | dialogue_generation | 0.644 |
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| 10 | summarization | 0.767 |
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| 11 | translation | 0.804 |
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| 12 | knowledge_retrieval | 0.676 |
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| 13 | creative_writing | 0.610 |
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| 14 | instruction_following | 0.758 |
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| 15 | safety_evaluation | 0.739 |
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**Weighted overall score: 0.710**
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config.json
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{
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"model_type": "bert",
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"architectures": ["BertModel"]
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:965362299a238de576a92dfdd3e32aea7a2bacc94b2c41541c8c9258b923f587
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size 23
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