Automatic Speech Recognition
Transformers
Safetensors
English
whisper
text-generation-inference
unsloth
trl
Instructions to use Danieljava/Hypa-Whisper-small-2026-03-31-translate-check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Danieljava/Hypa-Whisper-small-2026-03-31-translate-check with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
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
Install Unsloth Studio (Windows)
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
Using HuggingFace Spaces for Unsloth
# 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
Load model with FastModel
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, )
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|ann|>", | |
| "<|efi|>", | |
| "<|ego|>", | |
| "<|ibb|>", | |
| "<|idm|>", | |
| "<|igl|>", | |
| "<|ig|>", | |
| "<|nup|>", | |
| "<|tiv|>", | |
| "<|urh|>" | |
| ], | |
| "is_local": false, | |
| "language": "english", | |
| "model_max_length": 1024, | |
| "pad_token": "<|endoftext|>", | |
| "padding_side": "left", | |
| "predict_timestamps": false, | |
| "processor_class": "WhisperProcessor", | |
| "return_attention_mask": false, | |
| "task": "translate", | |
| "tokenizer_class": "WhisperTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |