Automatic Speech Recognition
Transformers
Safetensors
English
whisper
text-generation-inference
unsloth
trl
Instructions to use tachiwin/asr_language_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tachiwin/asr_language_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tachiwin/asr_language_classification")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tachiwin/asr_language_classification") model = AutoModelForSpeechSeq2Seq.from_pretrained("tachiwin/asr_language_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: tachiwin
- License: apache-2.0
- Finetuned from model : unsloth/whisper-large-v3-turbo
This whisper model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Downloads last month
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Model tree for tachiwin/asr_language_classification
Base model
openai/whisper-large-v3 Finetuned
unsloth/whisper-large-v3-turbo