Instructions to use hf-internal-testing/tiny-random-gptj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-gptj with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-gptj")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-gptj") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-gptj") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ac387c6f0e3794ba1a5357942a70554c8b54e0bc398f4aa32a3ca1cd8143248
- Size of remote file:
- 383 kB
- SHA256:
- 36781960a69271a1de37c71b35d2b6bcd497ff20e10b1a59824644c6853ba823
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