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
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README.md
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license: mit
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---
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license: mit
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datasets:
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- HuggingFaceFW/finepdfs
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- ibm-granite/granite-docling-258M
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new_version: google/embeddinggemma-300m
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pipeline_tag: text-classification
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library_name: diffusers
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tags:
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- agent
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---
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