Instructions to use slplab/apac_5sents_XLS-R_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/apac_5sents_XLS-R_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="slplab/apac_5sents_XLS-R_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("slplab/apac_5sents_XLS-R_2") model = AutoModelForCTC.from_pretrained("slplab/apac_5sents_XLS-R_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3800
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262389741
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:897f08926fab8f16f5ab6e7e38620a78e5be1db1394e2a14cb52ba715e353eab
|
| 3 |
size 1262389741
|