Instructions to use ajitbilLINORE121/lamma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ajitbilLINORE121/lamma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ajitbilLINORE121/lamma", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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README.md
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license: epl-1.0
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---
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license: epl-1.0
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datasets:
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- Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b
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language:
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- as
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- ar
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- aa
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metrics:
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- accuracy
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base_model:
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- microsoft/VibeVoice-ASR
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new_version: microsoft/VibeVoice-ASR
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pipeline_tag: text-to-audio
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library_name: diffusers
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tags:
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- biology
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- finance
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- chemistry
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- text-generation-inference
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---
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