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:
- 15baf34059ead3a64bd9a66596769bd41c8275024b05bc95d4072a8f7b38d56c
- Size of remote file:
- 1.6 MB
- SHA256:
- f784d3ab2ec4e8d4242299052c05baadbba6794f0d7a3ac37f2ecf5e0713636b
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