Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Safetensors
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use mikr/whisper-large2-czech-cv11-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikr/whisper-large2-czech-cv11-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mikr/whisper-large2-czech-cv11-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mikr/whisper-large2-czech-cv11-v2") model = AutoModelForMultimodalLM.from_pretrained("mikr/whisper-large2-czech-cv11-v2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "begin_suppress_tokens": [ | |
| 220, | |
| 50257 | |
| ], | |
| "bos_token_id": 50257, | |
| "decoder_start_token_id": 50258, | |
| "eos_token_id": 50257, | |
| "max_length": 448, | |
| "pad_token_id": 50257, | |
| "transformers_version": "4.30.2", | |
| "use_cache": false | |
| } | |