Instructions to use tensorops/whisper-tiny-th-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorops/whisper-tiny-th-v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorops/whisper-tiny-th-v7")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorops/whisper-tiny-th-v7") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorops/whisper-tiny-th-v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151098921
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f2fb2779f523d942a73bdfa7f728739bda4a91112fa31cd10e50a2726399688
|
| 3 |
size 151098921
|
runs/Nov17_20-41-41_rtx-i7/events.out.tfevents.1668692523.rtx-i7.2049441.0
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:f320142bc0ccc1864c8cc9ca69b6d7a6eca9af1363684c578679791cb0672894
|
| 3 |
+
size 36104
|