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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3b888defef7249c02e1a224f695db8fb4111b6c5dcccac8143a382448f6cf16
- Size of remote file:
- 1.88 MB
- SHA256:
- cc68a629bfb2a89fca2db727cb0191724695aedd18fa97dd6dcc6e49bb843123
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