Instructions to use TheAIchemist13/hindi_wav2vec2_optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheAIchemist13/hindi_wav2vec2_optimized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheAIchemist13/hindi_wav2vec2_optimized")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TheAIchemist13/hindi_wav2vec2_optimized") model = AutoModelForCTC.from_pretrained("TheAIchemist13/hindi_wav2vec2_optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
af34bc1
1
Parent(s): 04235cf
Training in progress, step 225
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377766433
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d328756e7e6d4592e16a8bbcfcf98be69191fcc72e3f10409ffd0bf07b21ac6f
|
| 3 |
size 377766433
|