Instructions to use Reza2kn/t5gemma-2-4b-netjets-sim-effective-hedb2x-warm-0p5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Reza2kn/t5gemma-2-4b-netjets-sim-effective-hedb2x-warm-0p5 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/t5gemma-2-4b-4b") model = PeftModel.from_pretrained(base_model, "Reza2kn/t5gemma-2-4b-netjets-sim-effective-hedb2x-warm-0p5") - Transformers
How to use Reza2kn/t5gemma-2-4b-netjets-sim-effective-hedb2x-warm-0p5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Reza2kn/t5gemma-2-4b-netjets-sim-effective-hedb2x-warm-0p5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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