Instructions to use goea/whisper-base-sagemaker-test.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goea/whisper-base-sagemaker-test.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="goea/whisper-base-sagemaker-test.en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("goea/whisper-base-sagemaker-test.en") model = AutoModelForSpeechSeq2Seq.from_pretrained("goea/whisper-base-sagemaker-test.en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
s3://sagemaker-whisper-testing/output/base/en/sagemaker-whispertra-250719-1220-009-96f9403c/output/model.tar.gz
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
CHANGED
|
@@ -19,7 +19,7 @@
|
|
| 19 |
"decoder_layerdrop": 0.0,
|
| 20 |
"decoder_layers": 6,
|
| 21 |
"decoder_start_token_id": 50257,
|
| 22 |
-
"dropout": 0.
|
| 23 |
"encoder_attention_heads": 8,
|
| 24 |
"encoder_ffn_dim": 2048,
|
| 25 |
"encoder_layerdrop": 0.0,
|
|
|
|
| 19 |
"decoder_layerdrop": 0.0,
|
| 20 |
"decoder_layers": 6,
|
| 21 |
"decoder_start_token_id": 50257,
|
| 22 |
+
"dropout": 0.005,
|
| 23 |
"encoder_attention_heads": 8,
|
| 24 |
"encoder_ffn_dim": 2048,
|
| 25 |
"encoder_layerdrop": 0.0,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 290408032
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cedd448c99e3b7657c3932dda699eb9c1f13722801e6cc93c0f0c050ec1b7725
|
| 3 |
size 290408032
|