Automatic Speech Recognition
Transformers
Safetensors
Japanese
moss_transcribe_diarize
text2text-generation
asr
japanese
custom_code
Instructions to use rose3/moss-anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose3/moss-anime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rose3/moss-anime", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("rose3/moss-anime", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("rose3/moss-anime", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download code/requirements.txt from rose3/moss-anime: direct link, hf CLI and curl.
- Browser
- Download file 188 Bytes
-
https://huggingface.co/rose3/moss-anime/resolve/main/code/requirements.txt
- Command line
-
hf download hf://rose3/moss-anime/code/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/rose3/moss-anime/resolve/main/code/requirements.txt
188 Bytes
| # install a CUDA build of torch first (https://pytorch.org), e.g. torch 2.14 + cu130 was used for testing | |
| torch>=2.8 | |
| transformers>=5.6.0,<6.0.0 | |
| soundfile>=0.12 | |
| soxr>=0.5 | |
| numpy | |
| librosa | |
| av | |