Instructions to use petra345/MyAwesomeModel-CompactRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/MyAwesomeModel-CompactRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/MyAwesomeModel-CompactRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/MyAwesomeModel-CompactRepo") model = AutoModel.from_pretrained("petra345/MyAwesomeModel-CompactRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload compact selected checkpoint artifacts
Browse files- pytorch_model.bin +1 -3
pytorch_model.bin
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oid sha256:965362299a238de576a92dfdd3e32aea7a2bacc94b2c41541c8c9258b923f587
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size 23
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...dummy binary data...
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