Instructions to use cportoca/MMS_Quechua_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cportoca/MMS_Quechua_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cportoca/MMS_Quechua_finetuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("cportoca/MMS_Quechua_finetuned") model = AutoModelForCTC.from_pretrained("cportoca/MMS_Quechua_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cportoca/MMS_Quechua_finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/cportoca/MMS_Quechua_finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://cportoca/MMS_Quechua_finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cportoca/MMS_Quechua_finetuned/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 93154bcf9c12003f55264241bc268aeb9c89f7ee3cdca8eb5543945d54043d01
- Size of remote file:
- 5.3 kB
- SHA256:
- 7f86aac867d2d199aa9637f6a862d9d250c5da0dbce16c738be13694f0c3538b
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