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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c1e4ac9b219f2eadb9f1a72387fd2844102f6d5df83347573c2c63f534a8bd8
- Size of remote file:
- 1.67 MB
- SHA256:
- af4b33ebba449dd487b5bcd4365e29c5fac410743ba6b5d36959be89b5ff6fdd
路
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