Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use xuliu15/FT-10m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xuliu15/FT-10m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xuliu15/FT-10m", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xuliu15/FT-10m") model = AutoModelForSpeechSeq2Seq.from_pretrained("xuliu15/FT-10m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c87673439c068adf30c94787fb86fbc962060a3e628f2d776000abee90be8c8
- Size of remote file:
- 5.11 kB
- SHA256:
- 8820eda23f74428dad751fbfeb1b160c2d20b3e88fe6c4d00a1f97caf932e8fb
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