Instructions to use balaji1312/whisper-medium-swbd-gclora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use balaji1312/whisper-medium-swbd-gclora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="balaji1312/whisper-medium-swbd-gclora")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("balaji1312/whisper-medium-swbd-gclora") model = AutoModelForSpeechSeq2Seq.from_pretrained("balaji1312/whisper-medium-swbd-gclora", device_map="auto") - PEFT
How to use balaji1312/whisper-medium-swbd-gclora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from balaji1312/whisper-medium-swbd-gclora: direct link, hf CLI and curl.
- Browser
- Download file 3.06 GB
-
https://huggingface.co/balaji1312/whisper-medium-swbd-gclora/resolve/main/model.safetensors
- Command line
-
hf download hf://balaji1312/whisper-medium-swbd-gclora/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/balaji1312/whisper-medium-swbd-gclora/resolve/main/model.safetensors
3.06 GB
- Xet hash:
- 3453b171d088222cd982b4c4e459adbf1cd7fe47d97d26f160dbfcd5c9f2f95f
- Size of remote file:
- 3.06 GB
- SHA256:
- f7463c56be056596780a9241e1c62e6080ac933ed42497ae0747faffb01e59ab
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