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
Download language_model/3gram.bin from MahmoodAnaam/MSP-Processor-With-LM: direct link, hf CLI and curl.
- Browser
- Download file 35.3 MB
-
https://huggingface.co/MahmoodAnaam/MSP-Processor-With-LM/resolve/main/language_model/3gram.bin
- Command line
-
hf download hf://MahmoodAnaam/MSP-Processor-With-LM/language_model/3gram.bin
-
curl -L -o 3gram.bin https://huggingface.co/MahmoodAnaam/MSP-Processor-With-LM/resolve/main/language_model/3gram.bin
35.3 MB
- Xet hash:
- 9039acb0c04f435ac22cd4b1a8627435282b2f6be66eb338dea2817b4dbf44d1
- Size of remote file:
- 35.3 MB
- SHA256:
- b2f3fd70d9b1659a315a2ad1bb55fa6f8e295f2fd135c484c83537960503de40
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