Automatic Speech Recognition
Transformers
Safetensors
Portuguese
whisper
contrastive-learning
synthetic-data-filtering
Instructions to use remynd/whisper-medium-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use remynd/whisper-medium-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="remynd/whisper-medium-pt")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("remynd/whisper-medium-pt") model = AutoModelForSpeechSeq2Seq.from_pretrained("remynd/whisper-medium-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -29,8 +29,8 @@ The training set also contained, the CommonVoice Dataset, Multilibri Speach, and
|
|
| 29 |
## Model Details
|
| 30 |
|
| 31 |
- **Developed by:** Yuriy Perezhohin, Tiago Santos, Victor Costa, Fernando Peres, and Mauro Castelli.
|
| 32 |
-
- **Funded by:**
|
| 33 |
-
- **Shared by:**
|
| 34 |
- **Model type:** ASR with contrastive learning-based synthetic data filtering
|
| 35 |
- **Language:** Portuguese
|
| 36 |
- **License:** APACHE 2.0
|
|
|
|
| 29 |
## Model Details
|
| 30 |
|
| 31 |
- **Developed by:** Yuriy Perezhohin, Tiago Santos, Victor Costa, Fernando Peres, and Mauro Castelli.
|
| 32 |
+
- **Funded by:** Remynd
|
| 33 |
+
- **Shared by:** Remynd
|
| 34 |
- **Model type:** ASR with contrastive learning-based synthetic data filtering
|
| 35 |
- **Language:** Portuguese
|
| 36 |
- **License:** APACHE 2.0
|