Instructions to use CLARA-MeD/mbart-large-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLARA-MeD/mbart-large-50 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLARA-MeD/mbart-large-50") model = AutoModelForSeq2SeqLM.from_pretrained("CLARA-MeD/mbart-large-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2444694045
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:022bf6ca9bc6a6761b738a09181f9ef2dcba40fc4c5568ccd497387dab28b6c8
|
| 3 |
size 2444694045
|
runs/Mar27_19-56-00_minion/events.out.tfevents.1679939765.minion.1580458.0
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:afcf9a9c70becef9b96263222e281f20f4b6fdc23255df89dcd3ea396403cfc1
|
| 3 |
+
size 10137
|