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 huihui-ai/Phi-4-multimodal-instruct-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huihui-ai/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="huihui-ai/Phi-4-multimodal-instruct-abliterated", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("huihui-ai/Phi-4-multimodal-instruct-abliterated", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbfd0b8f68cf9ba7c7f757f80e06422ece5c1548a7314bede26b94954fa742d9
- Size of remote file:
- 4.98 GB
- SHA256:
- f60f3ee2ae9d00219417ef049fd78b02aa3fa59f766d6675451ca0bffa317deb
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