Instructions to use ShyamVarahagiri/MachineTranslation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShyamVarahagiri/MachineTranslation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShyamVarahagiri/MachineTranslation") model = AutoModelForSeq2SeqLM.from_pretrained("ShyamVarahagiri/MachineTranslation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
557ab40
1
Parent(s): 3e0de30
Training in progress, step 24000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242071641
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc3f60ae660769c884f412113721c68917fceeb55c56678717bcd6c56257edb5
|
| 3 |
size 242071641
|
runs/Mar23_16-17-09_3f900c38fe1b/events.out.tfevents.1679588243.3f900c38fe1b.20654.0
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 sha256:0ddb0feb4c97776b87f9d1c33ba08dcb26ee9cf96ede5c48e04e30d0e1b9be43
|
| 3 |
+
size 12436
|