Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use mscs23021/Whisper_Small_Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mscs23021/Whisper_Small_Final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mscs23021/Whisper_Small_Final")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mscs23021/Whisper_Small_Final") model = AutoModelForSpeechSeq2Seq.from_pretrained("mscs23021/Whisper_Small_Final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from mscs23021/Whisper_Small_Final: direct link, hf CLI and curl.
- Browser
- Download file 215 Bytes
-
https://huggingface.co/mscs23021/Whisper_Small_Final/resolve/main/generation_config.json
- Command line
-
hf download hf://mscs23021/Whisper_Small_Final/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/mscs23021/Whisper_Small_Final/resolve/main/generation_config.json
215 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 50257, | |
| "decoder_start_token_id": 50258, | |
| "eos_token_id": 50257, | |
| "language": null, | |
| "pad_token_id": 50257, | |
| "task": null, | |
| "transformers_version": "4.51.3" | |
| } | |