Question Answering
Transformers
PyTorch
ONNX
distilbert
neural-compressor
8-bit precision
int8
Intel® Neural Compressor
PostTrainingStatic
Instructions to use Intel/distilbert-base-uncased-distilled-squad-int8-static-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/distilbert-base-uncased-distilled-squad-int8-static-inc with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Intel/distilbert-base-uncased-distilled-squad-int8-static-inc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Intel/distilbert-base-uncased-distilled-squad-int8-static-inc") model = AutoModelForQuestionAnswering.from_pretrained("Intel/distilbert-base-uncased-distilled-squad-int8-static-inc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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