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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_small_beta") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_small_beta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Saving weights and logs of step 24999 - epoch 3
e95f938 -
Saving weights and logs of step 24000 - epoch 3
93b4f43 -
Saving weights and logs of step 23000 - epoch 3
b45d7df -
Saving weights and logs of step 22000 - epoch 3
f3cd9f7 -
Saving weights and logs of step 21000 - epoch 3
22df464 -
Saving weights and logs of step 20000 - epoch 3
b1d73dc
-
Saving weights and logs of step 19000 - epoch 3
102ec4b -
Saving weights and logs of step 18000 - epoch 2
b03c7a5 -
Saving weights and logs of step 17000 - epoch 2
a0b6051 -
Saving weights and logs of step 16000 - epoch 2
8dd58e2 -
Saving weights and logs of step 15000 - epoch 2
dd40168 -
Saving weights and logs of step 14000 - epoch 2
a942979 -
Saving weights and logs of step 13000 - epoch 2
d13ecb4 -
Saving weights and logs of step 12000 - epoch 1
189a7a2 -
Saving weights and logs of step 11000 - epoch 1
6005402 -
Saving weights and logs of step 10000 - epoch 1
28424bb -
Saving weights and logs of step 9000 - epoch 1
c629b2f -
Saving weights and logs of step 8000 - epoch 1
e89074a -
Saving weights and logs of step 7000 - epoch 1
3646ebe -
Saving weights and logs of step 6000 - epoch 0
fd0ecf4 -
Saving weights and logs of step 5000 - epoch 0
ffcb859 -
Saving weights and logs of step 4000 - epoch 0
c6dfe9e -
Saving weights and logs of step 3000 - epoch 0
fd652a8 -
Saving weights and logs of step 2000 - epoch 0
9dc34fe -
Saving weights and logs of step 1000 - epoch 0
168de28 -
Saving weights and logs of step 0 - epoch 0
c928973