Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Maimonator/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maimonator/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Maimonator/whisper-tiny-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Maimonator/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("Maimonator/whisper-tiny-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
bc666ff
1
Parent(s): 3c85796
Training in progress, step 1000
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:fa40c2a27d8b94b54e484f916fe52bdaca7d3eeec6aa6d5387effc9d3d7aa5d6
|
| 3 |
size 151098921
|
runs/Aug26_17-28-23_tal/events.out.tfevents.1693060109.tal.3901.0
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:bd6bcb52fc6a6f4130f14ffd3b686784500305c370c3e6431bdc7de5656ff1cf
|
| 3 |
+
size 12768
|