Instructions to use hf-internal-testing/tiny-random-MvpForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MvpForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MvpForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MvpForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MvpForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb4cc92a4a1f49d5b4a21bd00287650f313c8d1d43f00d0a0c8249343e803099
- Size of remote file:
- 138 kB
- SHA256:
- e48cb25612b5b8343365e23826a2b3b6a12b91e51cc0a0ad4f78b61ad532c8f5
路
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