Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
NbAiLab/NPSC
Generated from Trainer
Instructions to use NbAiLab/xls-npsc-oh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/xls-npsc-oh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/xls-npsc-oh")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/xls-npsc-oh") model = AutoModelForCTC.from_pretrained("NbAiLab/xls-npsc-oh") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
CHANGED
|
@@ -6,6 +6,7 @@ tags:
|
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
- npsc
|
|
|
|
| 9 |
model-index:
|
| 10 |
- name: xls-npsc-oh
|
| 11 |
results: []
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
- npsc
|
| 9 |
+
base_model: KBLab/wav2vec2-large-voxrex
|
| 10 |
model-index:
|
| 11 |
- name: xls-npsc-oh
|
| 12 |
results: []
|