Instructions to use TheRamsay/wav2vec2-ctc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRamsay/wav2vec2-ctc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRamsay/wav2vec2-ctc")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TheRamsay/wav2vec2-ctc") model = AutoModelForCTC.from_pretrained("TheRamsay/wav2vec2-ctc") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 14
Browse files- config.json +2 -2
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
CHANGED
|
@@ -55,9 +55,9 @@
|
|
| 55 |
"final_dropout": 0.1,
|
| 56 |
"hidden_act": "gelu",
|
| 57 |
"hidden_dropout": 0.1,
|
| 58 |
-
"hidden_size":
|
| 59 |
"initializer_range": 0.02,
|
| 60 |
-
"intermediate_size":
|
| 61 |
"layer_norm_eps": 1e-05,
|
| 62 |
"layerdrop": 0.1,
|
| 63 |
"mask_feature_length": 10,
|
|
|
|
| 55 |
"final_dropout": 0.1,
|
| 56 |
"hidden_act": "gelu",
|
| 57 |
"hidden_dropout": 0.1,
|
| 58 |
+
"hidden_size": 768,
|
| 59 |
"initializer_range": 0.02,
|
| 60 |
+
"intermediate_size": 3072,
|
| 61 |
"layer_norm_eps": 1e-05,
|
| 62 |
"layerdrop": 0.1,
|
| 63 |
"mask_feature_length": 10,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60e308a63616a7eadc9db10ac414b72849a33d9dca8c94aa87372ff1231619c3
|
| 3 |
+
size 207548876
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5176
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:451409edb5e79913b938b007896f637922484f5e41070aa3cc4acfe87f0171ad
|
| 3 |
size 5176
|