Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use SemihDurmaz/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SemihDurmaz/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SemihDurmaz/content")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SemihDurmaz/content") model = AutoModelForSpeechSeq2Seq.from_pretrained("SemihDurmaz/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metadata1.csv from SemihDurmaz/content: direct link, hf CLI and curl.
- Browser
- Download file 12.4 kB
-
https://huggingface.co/SemihDurmaz/content/resolve/main/metadata1.csv
- Command line
-
hf download hf://SemihDurmaz/content/metadata1.csv
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curl -L -o metadata1.csv https://huggingface.co/SemihDurmaz/content/resolve/main/metadata1.csv
12.4 kB
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