Instructions to use Prerna2055/T5_ModelCompression_Federated_Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prerna2055/T5_ModelCompression_Federated_Learning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Prerna2055/T5_ModelCompression_Federated_Learning") model = AutoModelForSeq2SeqLM.from_pretrained("Prerna2055/T5_ModelCompression_Federated_Learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
base_federated_model/tensorboard_logs/20250525-134300/events.out.tfevents.1748180580.0a3644dab8ed.19.3
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size 2056
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