Automatic Speech Recognition
Transformers
Safetensors
Spanish
whisper
Generated from Trainer
8-bit precision
bitsandbytes
Instructions to use Jbautistas/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jbautistas/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jbautistas/checkpoints")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Jbautistas/checkpoints") model = AutoModelForSpeechSeq2Seq.from_pretrained("Jbautistas/checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3915211e45cc24b7466b83755ba88d0e78e85cabbe44d28a0de2c8f3992d5ea0
- Size of remote file:
- 5.5 kB
- SHA256:
- 943ac7bc7fc365f2500a10c2faaa689a01076ff704329da2ae31ffd48da1b409
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