Instructions to use hf-internal-testing/tiny-random-GPTNeoXForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTNeoXForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-GPTNeoXForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPTNeoXForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-GPTNeoXForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61ab2275454b41916f39e4daed1fa920a7f0bf19aa6e62cdbd1ba2a279f07542
- Size of remote file:
- 1.6 MB
- SHA256:
- 1b70e5db10134d6e4e366c51f0b79754d36a1fa526c4a5a8969a21a0be86615e
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