Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use huemerdavid/temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huemerdavid/temp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="huemerdavid/temp")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("huemerdavid/temp") model = AutoModelForSpeechSeq2Seq.from_pretrained("huemerdavid/temp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from huemerdavid/temp: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/huemerdavid/temp/resolve/main/training_args.bin
- Command line
-
hf download hf://huemerdavid/temp/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/huemerdavid/temp/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- cf91775060c99eed94f8d25cce959aba4ddf79936e27a89d4c97565d82cde643
- Size of remote file:
- 5.3 kB
- SHA256:
- 1cba7290060734a8521053f22aa09dde18d6a3e7d1cbc862bc508ed37782e7e3
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