Instructions to use jitendrairor123/new-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jitendrairor123/new-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jitendrairor123/new-model", dtype=torch.bfloat16, device_map="cuda") prompt = "I like you. I love you" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - HuggingFaceFW/finepdfs | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - ibm-granite/granite-docling-258M | |
| new_version: google/embeddinggemma-300m | |
| pipeline_tag: text-classification | |
| library_name: diffusers | |
| tags: | |
| - agent | |