Instructions to use mcptester0606/MyAwesomeModel-TestRepo-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcptester0606/MyAwesomeModel-TestRepo-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mcptester0606/MyAwesomeModel-TestRepo-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mcptester0606/MyAwesomeModel-TestRepo-v2") model = AutoModel.from_pretrained("mcptester0606/MyAwesomeModel-TestRepo-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mcptester0606/MyAwesomeModel-TestRepo-v2: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
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https://huggingface.co/mcptester0606/MyAwesomeModel-TestRepo-v2/resolve/main/pytorch_model.bin
- Command line
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hf download hf://mcptester0606/MyAwesomeModel-TestRepo-v2/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/mcptester0606/MyAwesomeModel-TestRepo-v2/resolve/main/pytorch_model.bin
23 Bytes
| ...dummy binary data... |