Instructions to use botcon/LUKE_squadshift_more_tf32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use botcon/LUKE_squadshift_more_tf32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="botcon/LUKE_squadshift_more_tf32")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("botcon/LUKE_squadshift_more_tf32") model = AutoModelForQuestionAnswering.from_pretrained("botcon/LUKE_squadshift_more_tf32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 156bdc72cd6f1b7f562db93ea7d38e5e3c28adb3b6b48e858566b4245fd2b77b
- Size of remote file:
- 4.6 kB
- SHA256:
- ae4cafa80891eba28ad6dbb4dcc1442b2576b6255139a3815e53839785b15a8b
路
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