Automatic Speech Recognition
Transformers
PyTorch
Safetensors
wav2vec2
NbAiLab/NST
Generated from Trainer
Instructions to use NbAiLab/wav2vec2-1b-nst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/wav2vec2-1b-nst with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/wav2vec2-1b-nst")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/wav2vec2-1b-nst") model = AutoModelForCTC.from_pretrained("NbAiLab/wav2vec2-1b-nst") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -38,3 +38,4 @@ wandb/run-20220919_091309-2lk1vb0u/files/output.log filter=lfs diff=lfs merge=lf
|
|
| 38 |
wandb/run-20221025_092127-29xi74uq/logs/debug-internal.log filter=lfs diff=lfs merge=lfs -text
|
| 39 |
wandb/run-20221025_092127-29xi74uq/files/output.log filter=lfs diff=lfs merge=lfs -text
|
| 40 |
language_model/unigrams.txt filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 38 |
wandb/run-20221025_092127-29xi74uq/logs/debug-internal.log filter=lfs diff=lfs merge=lfs -text
|
| 39 |
wandb/run-20221025_092127-29xi74uq/files/output.log filter=lfs diff=lfs merge=lfs -text
|
| 40 |
language_model/unigrams.txt filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1112d431eb6cecd5316eba9afaf38ded526a270d448d31f15f8f0f39e84abda
|
| 3 |
+
size 3850301028
|