Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use mn720/english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mn720/english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mn720/english")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mn720/english") model = AutoModelForSpeechSeq2Seq.from_pretrained("mn720/english", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mn720/english: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/mn720/english/resolve/main/training_args.bin
- Command line
-
hf download hf://mn720/english/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mn720/english/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 27380f595daa3c6a6483e4e8dfc2f6561069c0e65d13734a1198bc4c0a73aa24
- Size of remote file:
- 5.11 kB
- SHA256:
- 793223ba692844dfa64dde5112382507be3438052045f62fe6cf104e107279b2
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