Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use LightFury9/whisper-tiny-DRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightFury9/whisper-tiny-DRL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LightFury9/whisper-tiny-DRL")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("LightFury9/whisper-tiny-DRL") model = AutoModelForSpeechSeq2Seq.from_pretrained("LightFury9/whisper-tiny-DRL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from LightFury9/whisper-tiny-DRL: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/LightFury9/whisper-tiny-DRL/resolve/main/training_args.bin
- Command line
-
hf download hf://LightFury9/whisper-tiny-DRL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/LightFury9/whisper-tiny-DRL/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 062a3d37cf87769fd8d027a704049ef25aebd70e31371ff76ef10e9904127917
- Size of remote file:
- 4.73 kB
- SHA256:
- ed6f4dbbd66672a92f4dd3e570f1f1f99b9d1fec890a40d7e2042a1b7bdd45f9
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