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)# 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/speech_recognition.png from IronWolfAI/GoldenCrow: direct link, hf CLI and curl.
- Browser
- Download file 63.5 kB
-
https://huggingface.co/IronWolfAI/GoldenCrow/resolve/main/figures/speech_recognition.png
- Command line
-
hf download hf://IronWolfAI/GoldenCrow/figures/speech_recognition.png
-
curl -L -o speech_recognition.png https://huggingface.co/IronWolfAI/GoldenCrow/resolve/main/figures/speech_recognition.png
63.5 kB
