Instructions to use phatjk/wav2vec2-large-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phatjk/wav2vec2-large-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="phatjk/wav2vec2-large-vi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("phatjk/wav2vec2-large-vi") model = AutoModelForCTC.from_pretrained("phatjk/wav2vec2-large-vi") - Notebooks
- Google Colab
- Kaggle
Upload Wav2Vec2ForCTC
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
CHANGED
|
@@ -110,7 +110,7 @@
|
|
| 110 |
1
|
| 111 |
],
|
| 112 |
"torch_dtype": "float32",
|
| 113 |
-
"transformers_version": "4.
|
| 114 |
"use_weighted_layer_sum": false,
|
| 115 |
"vocab_size": 93,
|
| 116 |
"xvector_output_dim": 512
|
|
|
|
| 110 |
1
|
| 111 |
],
|
| 112 |
"torch_dtype": "float32",
|
| 113 |
+
"transformers_version": "4.33.1",
|
| 114 |
"use_weighted_layer_sum": false,
|
| 115 |
"vocab_size": 93,
|
| 116 |
"xvector_output_dim": 512
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262283117
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:62a9ec00082d3b9df35adbf0eb0c6c757bc613f5e2ca9fcad1fc4f7bc904e13f
|
| 3 |
size 1262283117
|