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:
- bf3b398088c71b5e0ca2e083bf23e54b9e0c1fc6cc95b6ee3931e4e5835d6f3d
- Size of remote file:
- 1.47 MB
- SHA256:
- 0d28b5655e5e27b7301338ca787fe22c34faa8d00cedafd806c80c3616a7d1ce
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