Instructions to use Selma323/first_dys_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Selma323/first_dys_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Selma323/first_dys_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Selma323/first_dys_model") model = AutoModelForAudioClassification.from_pretrained("Selma323/first_dys_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 94763496
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56b23c85750262611f71878ed2af2e7af4a676fceb5eeed69d346b56034ec60e
|
| 3 |
size 94763496
|
runs/May08_09-57-05_27bbb1aaf507/events.out.tfevents.1715162225.27bbb1aaf507.174.1
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a0b460478ef185e7e1d66b5b45d1ab607b2ff4af37dda3619f485e2f08021746
|
| 3 |
+
size 32063
|