Instructions to use hf-internal-testing/tiny-random-GPTJForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTJForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-GPTJForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPTJForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-GPTJForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86de66af7eb84a9437adae25ccee1d5c61e52a66bf1790f3c58f2633abca63d7
- Size of remote file:
- 1.7 MB
- SHA256:
- 88dc440fa6251a878d4634b8a4150919d9b9a8bc306af0a8649f7c4e92fd4a44
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