Instructions to use vxbrandon/pruned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vxbrandon/pruned_model 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="vxbrandon/pruned_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vxbrandon/pruned_model") model = AutoModelForQuestionAnswering.from_pretrained("vxbrandon/pruned_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 6500
Browse files
pytorch_model.bin
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runs/Jul28_01-56-49_69e414009aab/events.out.tfevents.1690509412.69e414009aab.227.1
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