Instructions to use hf-internal-testing/tiny-random-GPTNeoForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTNeoForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-GPTNeoForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPTNeoForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-GPTNeoForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fe329a46d3a8fb359f5da6db03523e79acac35a1aa4d7a12f4d6378b1f895f9
- Size of remote file:
- 1.47 MB
- SHA256:
- 74c83c7dcc0e33224f3a2d31ff6801b838c27bfc11241be74a7303dac50142eb
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