Instructions to use hf-internal-testing/tiny-random-YosoForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-YosoForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-YosoForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-YosoForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-YosoForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69195df38a0777ad27497ddd25f06a00e6e24fe538c106adb4cc1cebc6914d8b
- Size of remote file:
- 367 kB
- SHA256:
- 8757133d94fc7d4a6c767e1ce4e7ed80a8e9c74c1267366e13550f086434b817
路
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