Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Eimhin03/ModelsMCV22Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eimhin03/ModelsMCV22Training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Eimhin03/ModelsMCV22Training")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Eimhin03/ModelsMCV22Training") model = AutoModelForSpeechSeq2Seq.from_pretrained("Eimhin03/ModelsMCV22Training") - 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 151061672
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5129e36940ef9cc5c6c9485727ef23406ec5b25fbd1b082414a6496a5908cd2a
|
| 3 |
size 151061672
|
runs/Oct15_15-58-45_a55e872c3542/events.out.tfevents.1760543925.a55e872c3542.8771.10
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:b79b7230665a78001e35ef98cc6603c1e70ee851d099316058dc3e0e64108853
|
| 3 |
+
size 22900
|