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
abliterated
uncensored
custom_code
Instructions to use Jibbalit/phi-4-multimodal-instruct-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jibbalit/phi-4-multimodal-instruct-abliterated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jibbalit/phi-4-multimodal-instruct-abliterated", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Jibbalit/phi-4-multimodal-instruct-abliterated", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download CODE_OF_CONDUCT.md from Jibbalit/phi-4-multimodal-instruct-abliterated: direct link, hf CLI and curl.
- Browser
- Download file 453 Bytes
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https://huggingface.co/Jibbalit/phi-4-multimodal-instruct-abliterated/resolve/main/CODE_OF_CONDUCT.md
- Command line
-
hf download hf://Jibbalit/phi-4-multimodal-instruct-abliterated/CODE_OF_CONDUCT.md
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curl -L -o CODE_OF_CONDUCT.md https://huggingface.co/Jibbalit/phi-4-multimodal-instruct-abliterated/resolve/main/CODE_OF_CONDUCT.md
453 Bytes
Microsoft Open Source Code of Conduct
This project has adopted the Microsoft Open Source Code of Conduct.
Resources:
- Microsoft Open Source Code of Conduct
- Microsoft Code of Conduct FAQ
- Contact opencode@microsoft.com with questions or concerns