Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_small_beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_small_beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_small_beta")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_small_beta") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_small_beta") - Notebooks
- Google Colab
- Kaggle
Commit ·
7f14d58
1
Parent(s): 69e5673
Librarian Bot: Add base_model information to model (#1)
Browse files- Librarian Bot: Add base_model information to model (65d4307ccc9e4193ab49689d06c566b5a0f158e1)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
CHANGED
|
@@ -7,6 +7,7 @@ tags:
|
|
| 7 |
- asr
|
| 8 |
- automatic-speech-recognition
|
| 9 |
- hf-asr-leaderboard
|
|
|
|
| 10 |
model-index:
|
| 11 |
- name: scream_small_beta
|
| 12 |
results: []
|
|
|
|
| 7 |
- asr
|
| 8 |
- automatic-speech-recognition
|
| 9 |
- hf-asr-leaderboard
|
| 10 |
+
base_model: openai/whisper-small
|
| 11 |
model-index:
|
| 12 |
- name: scream_small_beta
|
| 13 |
results: []
|