Automatic Speech Recognition
Transformers
Safetensors
English
whisper
text-generation-inference
unsloth
Instructions to use hypaai/Hypa-Whisper-Small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hypaai/Hypa-Whisper-Small-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hypaai/Hypa-Whisper-Small-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hypaai/Hypa-Whisper-Small-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("hypaai/Hypa-Whisper-Small-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: hypaai
- License: apache-2.0
- Finetuned from model : hypaai/wspr_small_2025-11-11_12-12-17
This whisper model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for hypaai/Hypa-Whisper-Small-v2
Base model
openai/whisper-small Finetuned
hypaai/wspr_small_2025-11-11_12-12-17