Instructions to use ahotrod/albert_xxlargev1_squad2_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahotrod/albert_xxlargev1_squad2_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ahotrod/albert_xxlargev1_squad2_512")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ahotrod/albert_xxlargev1_squad2_512") model = AutoModelForQuestionAnswering.from_pretrained("ahotrod/albert_xxlargev1_squad2_512") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0353f27d4df656591cd54249e140943a1cf4d20e1b29a9cdbbab6d6b697da699
- Size of remote file:
- 890 MB
- SHA256:
- 5ea3ac9e00dd88a6d359cc313d3cdfe0a265aec3b1b0f00c3cd3155a67e848f0
路
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