Instructions to use hf-internal-testing/tiny-random-LiltForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LiltForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-LiltForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-LiltForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-LiltForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62010f7c9b83f87a15ef6a42085cb83b5870a09ebae117f7f2bbf5f7a6335b9b
- Size of remote file:
- 294 kB
- SHA256:
- e17a83f83274d166bea9bb68e41f0c5e4466ee1fec97bba17418ce512f24899f
路
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