Automatic Speech Recognition
Transformers
Safetensors
seamless_m4t_v2
feature-extraction
audio-to-audio
text-to-speech
seamless_communication
Instructions to use facebook/seamless-m4t-v2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/seamless-m4t-v2-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/seamless-m4t-v2-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/seamless-m4t-v2-large") model = AutoModel.from_pretrained("facebook/seamless-m4t-v2-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Error FineTune with GPU 40GB !!!!!!!!!
#34
by developeranalyser - opened
i have 40GB gpu vram and id get error CUDA out of memory.
with A100 gpu
for fine tune how much gpu vram needed ?
id use colab pro its possible ?
Isn't it ridiculous?
TnkU
how can reduce qpu usage ?