Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/yt-special-batch8-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/yt-special-batch8-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/yt-special-batch8-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/yt-special-batch8-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/yt-special-batch8-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TheRains/yt-special-batch8-tiny: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/TheRains/yt-special-batch8-tiny/resolve/main/training_args.bin
- Command line
-
hf download hf://TheRains/yt-special-batch8-tiny/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TheRains/yt-special-batch8-tiny/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- d605f7b23f6c0bbd5fb2c494cfc23c63fea4d8fc62760d7449f8f6d851429063
- Size of remote file:
- 4.16 kB
- SHA256:
- 76bc096f241c30659b188933338610cf3425f7f22153b34532d5e0f41875d4ca
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