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")# 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 8500
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 sha256:4a2f0222096e6ff8d6497975af937772d774a2195f8124e6b57f18ac23ab25af
|
| 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 sha256:5062dd5b02277ab90e8657a2d401d176c3e5d5b22174628faad58a94fe6bed8a
|
| 3 |
+
size 15837
|