Instructions to use MariaK/whisper-tiny-minds-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaK/whisper-tiny-minds-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MariaK/whisper-tiny-minds-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MariaK/whisper-tiny-minds-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("MariaK/whisper-tiny-minds-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MariaK/whisper-tiny-minds-v3: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/MariaK/whisper-tiny-minds-v3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MariaK/whisper-tiny-minds-v3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MariaK/whisper-tiny-minds-v3/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- c9abbb480c9eefd9968074012959edc37e399fb1269b7a6d0e405c5d213bbfec
- Size of remote file:
- 151 MB
- SHA256:
- 85fe747cd4d8fbab27ccba25956c11438aeb11a66f4cd9a29183f00cf364a740
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