Instructions to use YIIB/loom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use YIIB/loom with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://YIIB/loom") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- fka/awesome-chatgpt-prompts
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- HuggingFaceFW/finepdfs
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- bingbangboom/fka-awesome-chatgpt-prompts-hindi
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language:
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- an
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- av
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- aa
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- az
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metrics:
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- accuracy
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- bleurt
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- brier_score
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- code_eval
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base_model:
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- microsoft/VibeVoice-1.5B
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- Qwen/Qwen-Image-Edit
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- deepseek-ai/DeepSeek-V3.1-Base
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- xai-org/grok-2
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new_version: microsoft/VibeVoice-1.5B
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pipeline_tag: text-to-audio
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library_name: allennlp
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tags:
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- code
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- agent
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---
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