Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ramsri818/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramsri818/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ramsri818/whisper-tiny-dv")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ramsri818/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("ramsri818/whisper-tiny-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ramsri818/whisper-tiny-dv: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/ramsri818/whisper-tiny-dv/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ramsri818/whisper-tiny-dv/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ramsri818/whisper-tiny-dv/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 3b354057106270432a740aae67208f76bffb1bca0fffb8874445c3583c5426aa
- Size of remote file:
- 151 MB
- SHA256:
- 8331dcb24052dad1183f38c525535f0f544d1b1122bf094445a6df3cafea3def
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