Instructions to use mooneyko/inversion_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mooneyko/inversion_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mooneyko/inversion_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mooneyko/inversion_test") model = AutoModel.from_pretrained("mooneyko/inversion_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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"projection_dim": 768,
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"vocab_size":
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"projection_dim": 768,
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"vocab_size": 49411
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 492319009
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