Instructions to use KevinGeng/PAL_John_128_train_dev_test_seed_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KevinGeng/PAL_John_128_train_dev_test_seed_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KevinGeng/PAL_John_128_train_dev_test_seed_1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("KevinGeng/PAL_John_128_train_dev_test_seed_1") model = AutoModelForCTC.from_pretrained("KevinGeng/PAL_John_128_train_dev_test_seed_1") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 900
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377656855
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:122db0e5435011b692e27ccd5ba278eab2d9754f1200328eb7c9ca38787348ec
|
| 3 |
size 377656855
|
runs/Feb08_15-30-04_kevingeng/events.out.tfevents.1675837815.kevingeng.4017.0
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 sha256:3face58e7343f326cf4b01f08c940323cefcb3128ebb0c83c13bf9098be2de12
|
| 3 |
+
size 47832
|