Instructions to use Foxasdf/whisper-base-ar2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Foxasdf/whisper-base-ar2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Foxasdf/whisper-base-ar2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Foxasdf/whisper-base-ar2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Foxasdf/whisper-base-ar2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1400
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 290403936
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a66925a7d180add8f34cf42446d45b00c5d3c0e703c28e8029ae845d5e045703
|
| 3 |
size 290403936
|
runs/Jan19_09-33-49_4783279070e1/events.out.tfevents.1705656830.4783279070e1.397.0
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:e5fc597af91f504f801f2628f7a6b5d389d35c90308f90e6b1dce0fe2b95f118
|
| 3 |
+
size 14452
|