Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use rngzhi/cs3264-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rngzhi/cs3264-project with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rngzhi/cs3264-project")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rngzhi/cs3264-project") model = AutoModelForSpeechSeq2Seq.from_pretrained("rngzhi/cs3264-project") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83cb79865647064b3ef3a556a171fe3b93eec773d0910a52c77006549798f869
- Size of remote file:
- 5.11 kB
- SHA256:
- eb4043af17d69b00eaed62f642cbb2d1eb68e928161910d193475aa75a4b5fa6
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