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:
- 414c6b2907ea938f399d38aa5cac2c415a3c746c7ceb18143499c0c3222f1307
- Size of remote file:
- 1.59 MB
- SHA256:
- 6a658943b94a3dfd5e84b24e7f4ba4b10681db04650d2f7ee2c28b9d1ec1b709
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