Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use spellingdragon/whisper-tiny-en-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spellingdragon/whisper-tiny-en-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="spellingdragon/whisper-tiny-en-ft")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("spellingdragon/whisper-tiny-en-ft") model = AutoModelForSpeechSeq2Seq.from_pretrained("spellingdragon/whisper-tiny-en-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
19862ed
1
Parent(s): 274206e
Training in progress, step 1000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151061672
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f66431c6639e9d4d67caf0c9b6d9ecfbe83af7d79454779d8ed860db95449854
|
| 3 |
size 151061672
|
runs/Dec17_16-01-27_ba3d3a3bb8b1/events.out.tfevents.1702828888.ba3d3a3bb8b1.613.0
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 sha256:49d62af271b6d66e501f14cca336336369b8a815b9e90889c4994e2f7a0ab796
|
| 3 |
+
size 13026
|