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
File size: 201 Bytes
38ce30e | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_from_model_config": true,
"bos_token_id": 199999,
"eos_token_id": [
200020,
199999
],
"pad_token_id": 199999,
"transformers_version": "4.46.1",
"use_cache": true
}
|