Instructions to use botcon/LUKE_squadshift_finetuned_qa_tf32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use botcon/LUKE_squadshift_finetuned_qa_tf32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="botcon/LUKE_squadshift_finetuned_qa_tf32")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("botcon/LUKE_squadshift_finetuned_qa_tf32") model = AutoModelForQuestionAnswering.from_pretrained("botcon/LUKE_squadshift_finetuned_qa_tf32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:36508ab1fc9bab20225a1f1c19e4ff679d34c3391b037ad0fab6c0c750561153
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size 1095685304
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