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
metadata
license: apache-2.0
datasets:
- fka/awesome-chatgpt-prompts
- HuggingFaceFW/finepdfs
- bingbangboom/fka-awesome-chatgpt-prompts-hindi
language:
- an
- av
- aa
- az
metrics:
- accuracy
- bleurt
- brier_score
- code_eval
base_model:
- microsoft/VibeVoice-1.5B
- Qwen/Qwen-Image-Edit
- deepseek-ai/DeepSeek-V3.1-Base
- xai-org/grok-2
new_version: microsoft/VibeVoice-1.5B
pipeline_tag: text-to-audio
library_name: allennlp
tags:
- code
- agent