Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use dmavkgo/new_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmavkgo/new_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dmavkgo/new_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dmavkgo/new_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("dmavkgo/new_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dmavkgo/new_model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/dmavkgo/new_model/resolve/main/training_args.bin
- Command line
-
hf download hf://dmavkgo/new_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dmavkgo/new_model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 74bdf28663449c3e84b77316255d0538b2e8e98c05aa24e09032ae3bfa96c7ff
- Size of remote file:
- 5.3 kB
- SHA256:
- 4e7b3604c6e239dd92430e991043d351fc4867c6a150e1165dcd629a2ab5610a
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