Instructions to use stillerman/stammer-libristutter-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stillerman/stammer-libristutter-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="stillerman/stammer-libristutter-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("stillerman/stammer-libristutter-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("stillerman/stammer-libristutter-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 32
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 sha256:8e8a2a58f6f109484ef70045552003f1c34b0b367b34f455c1523e74071bb528
|
| 3 |
size 966995080
|
runs/Jul24_19-27-54_42f1b3e6cea2/events.out.tfevents.1721849284.42f1b3e6cea2.5762.0
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 sha256:4df08396643fdc7c8e06f6b39b9b11a148e26788fee5dbcf54cde0fb2a61241a
|
| 3 |
+
size 9123
|