Instructions to use WinderBYZ/MyAwesomeModel-TestRepo-delta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WinderBYZ/MyAwesomeModel-TestRepo-delta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="WinderBYZ/MyAwesomeModel-TestRepo-delta")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("WinderBYZ/MyAwesomeModel-TestRepo-delta") model = AutoModel.from_pretrained("WinderBYZ/MyAwesomeModel-TestRepo-delta") - Notebooks
- Google Colab
- Kaggle
Upload eval_metrics.json with huggingface_hub
Browse files- eval_metrics.json +5 -0
eval_metrics.json
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{
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"eval_accuracy": 0.921,
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"latency_ms": 85,
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"memory_mb": 1905
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}
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