Instructions to use charris/wav2vecvanilla_ctc_zero_infinity_longertrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charris/wav2vecvanilla_ctc_zero_infinity_longertrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charris/wav2vecvanilla_ctc_zero_infinity_longertrain")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("charris/wav2vecvanilla_ctc_zero_infinity_longertrain") model = AutoModelForCTC.from_pretrained("charris/wav2vecvanilla_ctc_zero_infinity_longertrain") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3300
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377611120
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a9ff1e1f15a2a1a29d51c197da87bf83aa46ef679fc200822bd41dbbd1ae818
|
| 3 |
size 377611120
|
runs/Apr13_02-47-21_0a3cd2114bd2/events.out.tfevents.1712976617.0a3cd2114bd2.1264.3
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 sha256:6dd9a0e8928bb39f6192bcf330a52bd305d13796a0f82152165794aae2eadaca
|
| 3 |
+
size 23536
|