Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
google/fleurs
Generated from Trainer
pashto
ps
Eval Results (legacy)
Instructions to use ihanif/wav2vec2-xls-r-300m-pashto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihanif/wav2vec2-xls-r-300m-pashto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ihanif/wav2vec2-xls-r-300m-pashto")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ihanif/wav2vec2-xls-r-300m-pashto") model = AutoModelForCTC.from_pretrained("ihanif/wav2vec2-xls-r-300m-pashto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload lm-boosted decoder
Browse files- .gitattributes +0 -2
- 5gram.arpa +0 -3
- 5gram_correct.arpa +0 -3
.gitattributes
CHANGED
|
@@ -32,5 +32,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 35 |
-
5gram.arpa filter=lfs diff=lfs merge=lfs -text
|
| 36 |
-
5gram_correct.arpa filter=lfs diff=lfs merge=lfs -text
|
|
|
|
| 32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
5gram.arpa
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:652210d65f65c5820437781e60777775161c5c38152a0ec46f1c04ffb8e14e7f
|
| 3 |
-
size 343315656
|
|
|
|
|
|
|
|
|
|
|
|
5gram_correct.arpa
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:8971263946d477b5f17d03cce43daa3217acee534ad27f655ed4307f61b91f01
|
| 3 |
-
size 343315675
|
|
|
|
|
|
|
|
|
|
|
|