Automatic Speech Recognition
Transformers
Safetensors
phi4mm
text-generation
nlp
code
audio
speech-summarization
speech-translation
visual-question-answering
phi-4-multimodal
phi
phi-4-mini
custom_code
Instructions to use IronWolfAI/GoldenCrow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IronWolfAI/GoldenCrow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="IronWolfAI/GoldenCrow", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("IronWolfAI/GoldenCrow", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download figures/vision_radar.png from IronWolfAI/GoldenCrow: direct link, hf CLI and curl.
- Browser
- Download file 174 kB
-
https://huggingface.co/IronWolfAI/GoldenCrow/resolve/main/figures/vision_radar.png
- Command line
-
hf download hf://IronWolfAI/GoldenCrow/figures/vision_radar.png
-
curl -L -o vision_radar.png https://huggingface.co/IronWolfAI/GoldenCrow/resolve/main/figures/vision_radar.png
174 kB

- Xet hash:
- dc5bd2c088151af2b44f3717969982fbb80c603dbb6811cbea98a029efb1444a
- Size of remote file:
- 174 kB
- SHA256:
- 1a649132fb490a235f3f390ac4f1a5360342d1d130bc6d63d59a30f449f7ecfd
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