Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Sandiago21/whisper-large-v2-greek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/whisper-large-v2-greek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sandiago21/whisper-large-v2-greek")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sandiago21/whisper-large-v2-greek") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sandiago21/whisper-large-v2-greek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
787947c
1
Parent(s): f59ccb3
update model card README.md
Browse files
README.md
CHANGED
|
@@ -1,11 +1,9 @@
|
|
| 1 |
---
|
| 2 |
-
language:
|
| 3 |
-
- el
|
| 4 |
license: apache-2.0
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
-
-
|
| 9 |
metrics:
|
| 10 |
- wer
|
| 11 |
model-index:
|
|
@@ -15,8 +13,8 @@ model-index:
|
|
| 15 |
name: Automatic Speech Recognition
|
| 16 |
type: automatic-speech-recognition
|
| 17 |
dataset:
|
| 18 |
-
name:
|
| 19 |
-
type:
|
| 20 |
config: el_gr
|
| 21 |
split: test
|
| 22 |
args: el_gr
|
|
@@ -31,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 31 |
|
| 32 |
# whisper-large-v2-greek
|
| 33 |
|
| 34 |
-
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
- Loss: 0.2442
|
| 37 |
- Wer Ortho: 0.8376
|
|
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
datasets:
|
| 6 |
+
- fleurs
|
| 7 |
metrics:
|
| 8 |
- wer
|
| 9 |
model-index:
|
|
|
|
| 13 |
name: Automatic Speech Recognition
|
| 14 |
type: automatic-speech-recognition
|
| 15 |
dataset:
|
| 16 |
+
name: fleurs
|
| 17 |
+
type: fleurs
|
| 18 |
config: el_gr
|
| 19 |
split: test
|
| 20 |
args: el_gr
|
|
|
|
| 29 |
|
| 30 |
# whisper-large-v2-greek
|
| 31 |
|
| 32 |
+
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the fleurs dataset.
|
| 33 |
It achieves the following results on the evaluation set:
|
| 34 |
- Loss: 0.2442
|
| 35 |
- Wer Ortho: 0.8376
|