Instructions to use kkatodus/jp-speech-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkatodus/jp-speech-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kkatodus/jp-speech-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kkatodus/jp-speech-classifier") model = AutoModelForSequenceClassification.from_pretrained("kkatodus/jp-speech-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (db1f2bb428d5c5ed174aed23edbf064afb7ab63e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>09a0fb5 -
added readme for model
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