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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64ebaa2bea14dc893042a798612e0536b67732034090986127123691b2946d61
- Size of remote file:
- 1.45 MB
- SHA256:
- 4ebac6f2b4402fc8eb4af8737d25b3a1cbb70c86042cf2cc898e677e52a7e758
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