Instructions to use maxseats/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxseats/tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maxseats/tmp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("maxseats/tmp") model = AutoModelForSpeechSeq2Seq.from_pretrained("maxseats/tmp") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 750
Browse files
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "maxseats/SungBeom-whisper-small-ko-
|
| 3 |
"activation_dropout": 0.0,
|
| 4 |
"activation_function": "gelu",
|
| 5 |
"apply_spec_augment": false,
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "maxseats/SungBeom-whisper-small-ko-set30",
|
| 3 |
"activation_dropout": 0.0,
|
| 4 |
"activation_function": "gelu",
|
| 5 |
"apply_spec_augment": false,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 966995080
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:354d18b180e9ca30696c1ee36ed7bf7d81dafc7c2c738269c90d0409c42093bb
|
| 3 |
size 966995080
|
runs/Jul02_01-17-52_node0/events.out.tfevents.1720025655.node0.356.92
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d1c238e0e2881bf86ce1d5804608927989f816d3b908d4c9388335297fd0c902
|
| 3 |
+
size 12301
|