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:
- 6aa19970bff8f7a15f1594c459c83cbf35463afdd8f091ff2d6439fe6e9f6c77
- Size of remote file:
- 3.55 MB
- SHA256:
- 697462d15c0395e8601961f75be9fd97fe5b06966ef4cdfd9bf7ba7254be4359
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