Instructions to use stackintel/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stackintel/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="stackintel/whisper-small-hi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("stackintel/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("stackintel/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
d3ec194
1
Parent(s): 9927993
Training in progress, step 4000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 967099139
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eda394a5aeb64beea050a8e25453ed35a61300fd4caf3edceb8bda45300314f7
|
| 3 |
size 967099139
|
runs/Dec16_14-53-10_imsaiultra2/events.out.tfevents.1671184397.imsaiultra2
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 sha256:84841314cdfcc602dfdb8ea95534871166acf4bbc303a21d901d959d7677bccf
|
| 3 |
+
size 30708
|