How to use Danieljava/Hypa-Whisper-small-2026-03-31-translate-check with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Danieljava/Hypa-Whisper-small-2026-03-31-translate-check")
# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Danieljava/Hypa-Whisper-small-2026-03-31-translate-check") model = AutoModelForSpeechSeq2Seq.from_pretrained("Danieljava/Hypa-Whisper-small-2026-03-31-translate-check")
How to use Danieljava/Hypa-Whisper-small-2026-03-31-translate-check with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Danieljava/Hypa-Whisper-small-2026-03-31-translate-check to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Danieljava/Hypa-Whisper-small-2026-03-31-translate-check to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Danieljava/Hypa-Whisper-small-2026-03-31-translate-check to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Danieljava/Hypa-Whisper-small-2026-03-31-translate-check", max_seq_length=2048, )
This whisper model was trained 2x faster with Unsloth
Files info
Base model
