Instructions to use MIT/ast-finetuned-audioset-10-10-0.4593 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MIT/ast-finetuned-audioset-10-10-0.4593 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="MIT/ast-finetuned-audioset-10-10-0.4593")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("MIT/ast-finetuned-audioset-10-10-0.4593") model = AutoModelForAudioClassification.from_pretrained("MIT/ast-finetuned-audioset-10-10-0.4593", device_map="auto") - Notebooks
- Google Colab
- Kaggle
🚩 Report
#13 opened over 2 years ago
by
llama-anon
AssertionError: choose a window size 400 that is [2, 1]
👍 2
1
#12 opened over 2 years ago
by
dgyee
How do i use it for emotion recognition?
2
#11 opened over 2 years ago
by
Thej6969
How do I change the model size ?
#9 opened over 2 years ago
by
Deosti
How to use to find yelling and laughter in a longer video?
👍 1
1
#8 opened over 2 years ago
by
rj14694
The size of tensor a (110) must match the size of tensor b (1214) at non-singleton dimension 1
1
#7 opened almost 3 years ago
by
Kivaa
TypeError when deployed in hf-space or docker, please help. thank
#6 opened almost 3 years ago
by
thelou1s
How do you convert pre-trained models to HF standard?
1
#4 opened over 3 years ago
by
morenolq
How can I use for audio classification
3
#3 opened over 3 years ago
by
Oncecaddy
🚩 Report
2
#2 opened over 3 years ago
by
kindywu
pretrained model for audio emotion classification
8
#1 opened over 3 years ago
by
PranavB