Translation
Transformers
ONNX
Nepali
English
setu_translation
feature-extraction
nepali
english
multilingual
code-mixed
romanized
devanagari
custom_code
Eval Results (legacy)
Instructions to use santoshdahal/setu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use santoshdahal/setu with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="santoshdahal/setu", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("santoshdahal/setu", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete assets/model.pt
Browse files- assets/model.pt +0 -3
assets/model.pt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:3f398c42275e7925df4ac1d7a0b59c7cb2629e899ee2a24e86f323261504b321
|
| 3 |
-
size 790826829
|
|
|
|
|
|
|
|
|
|
|
|