Instructions to use mooneyko/inversion-2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mooneyko/inversion-2-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mooneyko/inversion-2-1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mooneyko/inversion-2-1") model = AutoModel.from_pretrained("mooneyko/inversion-2-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ad4e37742050819b091c514b600aa6eded9ee15241869c97506c0afc169c06c
- Size of remote file:
- 1.36 GB
- SHA256:
- 2188379b05015f531d61503e714234d00a64939792f3098b324e516547f0194f
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