Instructions to use ArpanZS/debug_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArpanZS/debug_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ArpanZS/debug_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ArpanZS/debug_squad") model = AutoModelForQuestionAnswering.from_pretrained("ArpanZS/debug_squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9276bd4c022813d94aabf396ba78b0af787cbf4b49e599614ace362cb538bf7b
- Size of remote file:
- 438 MB
- SHA256:
- 7e0367f44b4d7d4fc292f15efba7d7a0ea1538a4999dcb40f49ec3515ebd55ae
路
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