Instructions to use valhalla/gpt-neo-random-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/gpt-neo-random-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="valhalla/gpt-neo-random-tiny")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("valhalla/gpt-neo-random-tiny") model = AutoModel.from_pretrained("valhalla/gpt-neo-random-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dfd136f720b4715b4e3baa9aa3b4ac0737744b86f4d3e66dd22ae308580852d
- Size of remote file:
- 1.64 MB
- SHA256:
- 10da6ee2f920d00406774a1d4d86593fe092a09dd6fad4e28827db4b7df3922b
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