Instructions to use Mihaj/w2v-bert-karelian-CodeSwitching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mihaj/w2v-bert-karelian-CodeSwitching with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mihaj/w2v-bert-karelian-CodeSwitching")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Mihaj/w2v-bert-karelian-CodeSwitching") model = AutoModelForCTC.from_pretrained("Mihaj/w2v-bert-karelian-CodeSwitching", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 6000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1211530916
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d850dad1d0aacceaae0bbce858611e20f917f26276a10468282abe9cda69d32a
|
| 3 |
size 1211530916
|
runs/Apr24_15-46-05_maxim-ubuntu3080/events.out.tfevents.1713962816.maxim-ubuntu3080.9203.1
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:d8673f4719b741718f35c0c093f63baaf9efc58a58d81af410b86c9c1c88bd60
|
| 3 |
+
size 12957
|