Automatic Speech Recognition
Transformers
Safetensors
PyTorch
English
gradient_transcribe
feature-extraction
audio
gqa
rope
custom_code
Instructions to use Gradient-Research/Gradient-Transcribe1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gradient-Research/Gradient-Transcribe1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gradient-Research/Gradient-Transcribe1", trust_remote_code=True)# Load model directly from transformers import AutoModelForConditionalGeneration model = AutoModelForConditionalGeneration.from_pretrained("Gradient-Research/Gradient-Transcribe1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Very Efficiency but buggy
#1 opened 15 days ago
by
Elais-jann