Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
speech-encoder-decoder
Generated from Trainer
Instructions to use sanchit-gandhi/wav2vec2-2-rnd-grid-search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanchit-gandhi/wav2vec2-2-rnd-grid-search with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sanchit-gandhi/wav2vec2-2-rnd-grid-search")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sanchit-gandhi/wav2vec2-2-rnd-grid-search") model = AutoModelForMultimodalLM.from_pretrained("sanchit-gandhi/wav2vec2-2-rnd-grid-search") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "eval_loss": 6.939670562744141, | |
| "eval_runtime": 1142.392, | |
| "eval_samples": 2642, | |
| "eval_samples_per_second": 2.313, | |
| "eval_steps_per_second": 0.29, | |
| "eval_wer": 2.511617755025101, | |
| "train_loss": 6.994354631227228, | |
| "train_runtime": 29094.1939, | |
| "train_samples": 28538, | |
| "train_samples_per_second": 4.904, | |
| "train_steps_per_second": 0.153 | |
| } |