Instructions to use ydshieh/tiny-random-LiltForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-LiltForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ydshieh/tiny-random-LiltForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-LiltForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("ydshieh/tiny-random-LiltForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f5be3bac8f7e209c731c0b3779c48efb1f5efcbc92de3afc6063804216ac5d2
- Size of remote file:
- 293 kB
- SHA256:
- d53678f67f9972db5088fa2094906b0504b41919d8d5793a62654f6897bf2e3b
路
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