Instructions to use odipusraja/gpunet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use odipusraja/gpunet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("odipusraja/gpunet", dtype=torch.bfloat16, device_map="cuda") prompt = "I like you. I love you" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
language:
- en
- id
metrics:
- accuracy
base_model:
- nvidia/parakeet-tdt-0.6b-v2
new_version: deepseek-ai/DeepSeek-Prover-V2-671B
pipeline_tag: text-classification
library_name: diffusers
tags:
- code