Instructions to use hf-internal-testing/tiny-random-gpt_neo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-gpt_neo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-gpt_neo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-gpt_neo") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-gpt_neo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload model
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Upload ONNX weights (#2)
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v2 update
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Add model and configuration.
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initial commit
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