Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use xbilek25/whisper-medium-en-cv-6.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xbilek25/whisper-medium-en-cv-6.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xbilek25/whisper-medium-en-cv-6.2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xbilek25/whisper-medium-en-cv-6.2") model = AutoModelForSpeechSeq2Seq.from_pretrained("xbilek25/whisper-medium-en-cv-6.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from xbilek25/whisper-medium-en-cv-6.2: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/xbilek25/whisper-medium-en-cv-6.2/resolve/e0caea783aa45cd1cbc0e473acfedc0a3fab0348/training_args.bin
- Command line
-
hf download hf://xbilek25/whisper-medium-en-cv-6.2@e0caea783aa45cd1cbc0e473acfedc0a3fab0348/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/xbilek25/whisper-medium-en-cv-6.2/resolve/e0caea783aa45cd1cbc0e473acfedc0a3fab0348/training_args.bin
5.5 kB
- Xet hash:
- 0d61617334ce9d1206221a629c323e171f2f6b54c9b5f4e339336659050ff475
- Size of remote file:
- 5.5 kB
- SHA256:
- 046d9016193a047e0589fa2fc49e3cb1a62515ab3474dd893526ad29d61239f1
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