Automatic Speech Recognition
Transformers
English
processor
custom_code
msp
beam-search
language-model
3-gram
pyctcdecode
kenlm
Instructions to use MahmoodAnaam/MSP-Processor-With-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MahmoodAnaam/MSP-Processor-With-LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MahmoodAnaam/MSP-Processor-With-LM", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MahmoodAnaam/MSP-Processor-With-LM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
8cccbbd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b2f3fd70d9b1659a315a2ad1bb55fa6f8e295f2fd135c484c83537960503de40
size 35340405
|