Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results
Instructions to use openai/whisper-large-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-large-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-large-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Issue with inference endpoints
#122
by simon5454 - opened
Hi,
I tried to use the deploy the "openai/whisper-large-v3" model with inference endpoints. I made the request from postman (importing the curl command).
It works for the inference API endpoint, but not with the allocate inference endpoint.
I just receive a 500 server error.
Configuration is set to task: automatic-speech-recognition and container type: default.
Model: openai/whisper-large-v3
Instance: AWS us-east-1 GPU Nvidia T4 1xGPU 16 GB.
Can you help me understand what I am doing wrong?
Same issue here. I tried running it but in Python but keep getting this error. I feel it is no longer avaiable for free usage to try for POCs.