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 training_args.bin from SemihDurmaz/content: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/SemihDurmaz/content/resolve/main/training_args.bin
- Command line
-
hf download hf://SemihDurmaz/content/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SemihDurmaz/content/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 7f51dd202d2473bd736f9395d3cedacb9668806808353d9f0ec9de6e0bd82571
- Size of remote file:
- 5.24 kB
- SHA256:
- 5816c0b74e606815c59b299df6c2c1a898cf724b5800ff605ce7ac3080b63350
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