Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use nezamisafa/whisper-persian-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nezamisafa/whisper-persian-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nezamisafa/whisper-persian-v4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nezamisafa/whisper-persian-v4") model = AutoModelForSpeechSeq2Seq.from_pretrained("nezamisafa/whisper-persian-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files
model-00001-of-00002.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4993448880
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0830076bf44532970d62932089396549d5c8c430655065517e92f1d4ce66c2fb
|
| 3 |
size 4993448880
|
model-00002-of-00002.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1180663192
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e393d0f267d0c11166aeeb5fd2eb1b6aa17003f9112d7e031c3872ab3198715
|
| 3 |
size 1180663192
|
runs/Jun02_17-59-52_safa-System-Product-Name/events.out.tfevents.1748874646.safa-System-Product-Name.13848.0
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 sha256:4b8ff4803be23ea737f176d22dcbd8dd1c8485e4b18d2d06ea54a74a9dde4f5e
|
| 3 |
+
size 49818
|