Instructions to use captaincool21/whisper-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use captaincool21/whisper-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="captaincool21/whisper-minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("captaincool21/whisper-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("captaincool21/whisper-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from captaincool21/whisper-minds14: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/captaincool21/whisper-minds14/resolve/main/training_args.bin
- Command line
-
hf download hf://captaincool21/whisper-minds14/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/captaincool21/whisper-minds14/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- eb7145488816a268ede22a41b553adcd97855c44cfca35498985495a1a2df262
- Size of remote file:
- 5.78 kB
- SHA256:
- 7fa1bbfe6c61f38b6ba812a32c9e0a30e206ef4c262437ee4ca1d3e9f4f1767f
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