Instructions to use anton1561/whisper-small-ph-mhtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton1561/whisper-small-ph-mhtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anton1561/whisper-small-ph-mhtest")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("anton1561/whisper-small-ph-mhtest") model = AutoModelForSpeechSeq2Seq.from_pretrained("anton1561/whisper-small-ph-mhtest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 967102601
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:89cae32f25c71c3de727ae8804b9ec17ab8cb097bb860276d937572c13ae2543
|
| 3 |
size 967102601
|
runs/Jul04_21-29-13_cchenserver/events.out.tfevents.1688520559.cchenserver.9884.0
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 sha256:492682e48390dc93f57f346e3412149e4a82f58264c42f6c9da19749c097bb74
|
| 3 |
+
size 24559
|