Instructions to use rossevine/Model_G_Wav2Vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rossevine/Model_G_Wav2Vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rossevine/Model_G_Wav2Vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rossevine/Model_G_Wav2Vec2") model = AutoModelForCTC.from_pretrained("rossevine/Model_G_Wav2Vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 400
Browse files
config.json
CHANGED
|
@@ -70,10 +70,10 @@
|
|
| 70 |
"num_feat_extract_layers": 7,
|
| 71 |
"num_hidden_layers": 24,
|
| 72 |
"num_negatives": 100,
|
| 73 |
-
"pad_token_id":
|
| 74 |
"proj_codevector_dim": 768,
|
| 75 |
"torch_dtype": "float32",
|
| 76 |
"transformers_version": "4.11.3",
|
| 77 |
"use_weighted_layer_sum": false,
|
| 78 |
-
"vocab_size":
|
| 79 |
}
|
|
|
|
| 70 |
"num_feat_extract_layers": 7,
|
| 71 |
"num_hidden_layers": 24,
|
| 72 |
"num_negatives": 100,
|
| 73 |
+
"pad_token_id": 28,
|
| 74 |
"proj_codevector_dim": 768,
|
| 75 |
"torch_dtype": "float32",
|
| 76 |
"transformers_version": "4.11.3",
|
| 77 |
"use_weighted_layer_sum": false,
|
| 78 |
+
"vocab_size": 30
|
| 79 |
}
|
pytorch_model.bin
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:ecfb23d41fa1f747fc44f5a64aa45a7fc4f708b8ce0f40b5af95acfe50597259
|
| 3 |
+
size 1262046641
|
runs/Aug15_10-46-35_hpc-Aquarium2/1692071222.8945153/events.out.tfevents.1692071222.hpc-Aquarium2.28873.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c8a11dbdd0c2c04dcbba1e9086af8a264f52510722987a988f57468674e4903
|
| 3 |
+
size 4544
|
runs/Aug15_10-46-35_hpc-Aquarium2/events.out.tfevents.1692071222.hpc-Aquarium2.28873.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e28217cf7cedd50e94eb43ca2be6e79b881cf5acef11835005506f7f06a56006
|
| 3 |
+
size 4721
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2863
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2b43497128ac35da2fcf094f9c2f23a706c9d2176d37dd89f8eec649e87cc337
|
| 3 |
size 2863
|