Instructions to use datarpit/toy-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datarpit/toy-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="datarpit/toy-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("datarpit/toy-qa") model = AutoModelForQuestionAnswering.from_pretrained("datarpit/toy-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d992f18a01beb36fd67e64203c6a5fc713029d0a6bf8d37d3e7cf3a01eeb027
- Size of remote file:
- 2.99 kB
- SHA256:
- 4de61903567003845280efc7e49593c80c6f2966a22481114759be395a189c7c
路
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