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:
- 9d27ab446dd1046837aec41ee048610cde093df93cc423cf7e81087763ef1a5c
- Size of remote file:
- 1.47 MB
- SHA256:
- 2d11b7c90c5fd3b182cc01540d77ba9f9363a0a6b9c6a0e7ab3043771b5e969d
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