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 FriendliAI/Phi-4-multimodal-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FriendliAI/Phi-4-multimodal-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FriendliAI/Phi-4-multimodal-instruct", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("FriendliAI/Phi-4-multimodal-instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download speech-lora/tokenizer.json from FriendliAI/Phi-4-multimodal-instruct: direct link, hf CLI and curl.
- Browser
- Download file 15.5 MB
-
https://huggingface.co/FriendliAI/Phi-4-multimodal-instruct/resolve/main/speech-lora/tokenizer.json
- Command line
-
hf download hf://FriendliAI/Phi-4-multimodal-instruct/speech-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FriendliAI/Phi-4-multimodal-instruct/resolve/main/speech-lora/tokenizer.json
15.5 MB
- Xet hash:
- 0e0643acc564bb0bb41e1fc82b35b0bd1824a89e58d3969295aa23a3d1d373d5
- Size of remote file:
- 15.5 MB
- SHA256:
- 382cc235b56c725945e149cc25f191da667c836655efd0857b004320e90e91ea
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