Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use razhan/whisper-base-ckb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razhan/whisper-base-ckb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="razhan/whisper-base-ckb")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("razhan/whisper-base-ckb") model = AutoModelForSpeechSeq2Seq.from_pretrained("razhan/whisper-base-ckb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 200 Bytes
fae1e7d | 1 2 3 4 5 6 7 8 | {
"epoch": 10.87,
"train_loss": 0.25973586964607237,
"train_runtime": 25779.7961,
"train_samples": 105929,
"train_samples_per_second": 44.686,
"train_steps_per_second": 0.039
} |