Automatic Speech Recognition
Transformers
Safetensors
English
asr_model
feature-extraction
asr
speech-recognition
audio
qwen
glm-asr
custom_code
Instructions to use mazesmazes/tiny-audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mazesmazes/tiny-audio", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Revert to 5a38762f (end of stage 1) — drop bad stage 2 checkpoints
Browse filesStage 2 (started 2026-05-09 16:16) regressed across most evals due to over-aggressive augmentations (MP3 at 32 kbps + babble + bandlimit compounding). This commit restores file contents to the end-of-stage-1 checkpoint (f3bab709 → 5a38762f). Stage 2 history is preserved above.
- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2433494416
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e830a9e4362b32186ad529b33d2fb7c7c930ca182d471178f2d24bee05e3bb4
|
| 3 |
size 2433494416
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5329
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:323f3fcb8fda7d037add78c657f2f95394b69825fe27e5f794b4b2607076e45a
|
| 3 |
size 5329
|