Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malasar
whisper
Generated from Trainer
Instructions to use leenag/Norm_Malasar_Luke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leenag/Norm_Malasar_Luke with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="leenag/Norm_Malasar_Luke")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("leenag/Norm_Malasar_Luke") model = AutoModelForSpeechSeq2Seq.from_pretrained("leenag/Norm_Malasar_Luke", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
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 sha256:3836189c5801090b29b8405a19373e9c3ba319bf979a657710dee43d2ceb6f7b
|
| 3 |
size 966995080
|
runs/Jun29_10-26-37_kudsit-dgxserver/events.out.tfevents.1719637039.kudsit-dgxserver.3729672.0
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 sha256:7daf7bbdd96c8ff67d91e5c488e01e329f28f4a72d5cc66808cac741130a9bc8
|
| 3 |
+
size 25424
|