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:
- 7a26b5ccde22e23076d01c20047def171f1808df288bddc7ef68339445661974
- Size of remote file:
- 890 MB
- SHA256:
- da00b34a40423821c5c6d212954f87b4738f5d3152b3183ff4e4e39759882ca1
路
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