Instructions to use tuan11b3/firenetixWhisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuan11b3/firenetixWhisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tuan11b3/firenetixWhisper-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tuan11b3/firenetixWhisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("tuan11b3/firenetixWhisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tuan11b3/firenetixWhisper-tiny: direct link, hf CLI and curl.
- Browser
- Download file 2.2 MB
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https://huggingface.co/tuan11b3/firenetixWhisper-tiny/resolve/main/tokenizer.json
- Command line
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hf download hf://tuan11b3/firenetixWhisper-tiny/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/tuan11b3/firenetixWhisper-tiny/resolve/main/tokenizer.json
2.2 MB
File too large to display, you can check the raw version instead.