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
Sanchit Gandhi commited on
Commit ·
dbc3f8b
1
Parent(s): 58e39ee
Model save
Browse files- pytorch_model.bin +1 -1
- runs/Mar03_06-20-55_sanchit--v100/events.out.tfevents.1646288485.sanchit--v100.272368.0 +2 -2
- wandb/run-20220303_062125-20v3572q/files/config.yaml +20 -0
- wandb/run-20220303_062125-20v3572q/files/output.log +0 -0
- wandb/run-20220303_062125-20v3572q/files/wandb-summary.json +0 -0
- wandb/run-20220303_062125-20v3572q/logs/debug-internal.log +0 -0
- wandb/run-20220303_062125-20v3572q/run-20v3572q.wandb +2 -2
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