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
metadata
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