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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6144c88178f4df3c737edbee9b2fa300ecf2f1ea81b94f4010bf5fc74a149086
- Size of remote file:
- 587 kB
- SHA256:
- e62d1c6d6c070a2ff36034488471fe46b0132d2f699474930bad30fa681d23a0
路
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