Instructions to use hf-internal-testing/tiny-random-GPT2ForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPT2ForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-GPT2ForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPT2ForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-GPT2ForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d17a1555688c23ca81225f7792da52bc78d4fc2f8c2dc4ffe3c6c038d8c818f2
- Size of remote file:
- 353 kB
- SHA256:
- 2bd9623916e26896e6942749139401ebf6e0c4963ea003972a56b21ead2c68d3
路
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