Instructions to use SOTAagi2030/MyModel-Complete-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SOTAagi2030/MyModel-Complete-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SOTAagi2030/MyModel-Complete-TestRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SOTAagi2030/MyModel-Complete-TestRepo") model = AutoModel.from_pretrained("SOTAagi2030/MyModel-Complete-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scores.json from SOTAagi2030/MyModel-Complete-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 447 Bytes
-
https://huggingface.co/SOTAagi2030/MyModel-Complete-TestRepo/resolve/main/scores.json
- Command line
-
hf download hf://SOTAagi2030/MyModel-Complete-TestRepo/scores.json
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curl -L -o scores.json https://huggingface.co/SOTAagi2030/MyModel-Complete-TestRepo/resolve/main/scores.json
447 Bytes
| { | |
| "math_reasoning": 0.550, | |
| "code_generation": 0.650, | |
| "text_classification": 0.828, | |
| "sentiment_analysis": 0.792, | |
| "question_answering": 0.607, | |
| "logical_reasoning": 0.819, | |
| "common_sense": 0.736, | |
| "reading_comprehension": 0.700, | |
| "dialogue_generation": 0.644, | |
| "summarization": 0.767, | |
| "translation": 0.804, | |
| "knowledge_retrieval": 0.676, | |
| "creative_writing": 0.610, | |
| "instruction_following": 0.758, | |
| "safety_evaluation": 0.739 | |
| } |