Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Italian
whisper
Generated from Trainer
whisper-event
Eval Results (legacy)
Instructions to use luigisaetta/whispermedium2plus-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luigisaetta/whispermedium2plus-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="luigisaetta/whispermedium2plus-it")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("luigisaetta/whispermedium2plus-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("luigisaetta/whispermedium2plus-it") - Notebooks
- Google Colab
- Kaggle
Commit ·
a5aaa6d
1
Parent(s): 1d4dcc4
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,10 +1,12 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
- whisper-event
|
| 6 |
datasets:
|
| 7 |
-
- common_voice_11_0
|
| 8 |
metrics:
|
| 9 |
- wer
|
| 10 |
model-index:
|
|
@@ -14,8 +16,8 @@ model-index:
|
|
| 14 |
name: Automatic Speech Recognition
|
| 15 |
type: automatic-speech-recognition
|
| 16 |
dataset:
|
| 17 |
-
name: mozilla/common_voice_11_0 it
|
| 18 |
-
type: mozilla/common_voice_11_0
|
| 19 |
config: it
|
| 20 |
split: test
|
| 21 |
args: it
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- it
|
| 4 |
license: apache-2.0
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
- whisper-event
|
| 8 |
datasets:
|
| 9 |
+
- mozilla-foundation/common_voice_11_0
|
| 10 |
metrics:
|
| 11 |
- wer
|
| 12 |
model-index:
|
|
|
|
| 16 |
name: Automatic Speech Recognition
|
| 17 |
type: automatic-speech-recognition
|
| 18 |
dataset:
|
| 19 |
+
name: mozilla-foundation/common_voice_11_0 it
|
| 20 |
+
type: mozilla-foundation/common_voice_11_0
|
| 21 |
config: it
|
| 22 |
split: test
|
| 23 |
args: it
|