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:
- 0e86d21b40e9a89f644b1421f8954552a3fc65e66c39744fabe1da8251dba43b
- Size of remote file:
- 1.67 MB
- SHA256:
- cdeaa0e7b30ea4fbcef9149766fc185aa3b9564b655fa3f59d23fe9c79f3ab05
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