Instructions to use Shadowmachete/asr_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadowmachete/asr_training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shadowmachete/asr_training")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shadowmachete/asr_training") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shadowmachete/asr_training") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 966995080
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9752beb7aa2beda83c478f554a0d156b74779d2720e2e4dffd2f3886d49a87c3
|
| 3 |
size 966995080
|
runs/May14_20-09-59_LAPTOP-RETT3JD7/events.out.tfevents.1715688600.LAPTOP-RETT3JD7.1948.0
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:ec75db33b66b09d8f6de45a067ca0da45f5a082a6b72e610246cd41315c01540
|
| 3 |
+
size 8331
|