Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use MHaurel/whisper-tiny-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MHaurel/whisper-tiny-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MHaurel/whisper-tiny-english")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MHaurel/whisper-tiny-english") model = AutoModelForSpeechSeq2Seq.from_pretrained("MHaurel/whisper-tiny-english", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
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:d5b15375f9463232574efad302fea81a974df7681c4521391d57159e7d40e40f
|
| 3 |
size 151061672
|
runs/Oct14_19-55-43_6ce34af0b3d8/events.out.tfevents.1728935745.6ce34af0b3d8.766.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:17b0d7f9d70f0454503f300441f225bbd184afebecf07fb5fee5da24a9dac05a
|
| 3 |
+
size 11712
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a05ae06f10ab6f38fb80495b1a775a7f242e8572b8dcc20bee434b9a7221f6c
|
| 3 |
size 5368
|