Instructions to use SamagraDataGov/whisper-tiny-hindi2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/whisper-tiny-hindi2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SamagraDataGov/whisper-tiny-hindi2_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SamagraDataGov/whisper-tiny-hindi2_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("SamagraDataGov/whisper-tiny-hindi2_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 120
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151099494
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:693d49ced50265cbb5903f02bab37d536606e9b6f2b7792cb8d77781ef564040
|
| 3 |
size 151099494
|
runs/Jun29_09-39-32_bharatsahaiyak-test/events.out.tfevents.1719661023.bharatsahaiyak-test.1854617.6
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 sha256:157d18982c1e8bfb9a29ed7141b21e3b6db32b1f11d0391980c5249f1ac6a726
|
| 3 |
+
size 7848
|