Instructions to use Heit39/bart-base_opus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Heit39/bart-base_opus with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Heit39/bart-base_opus") model = AutoModelForSeq2SeqLM.from_pretrained("Heit39/bart-base_opus") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 12000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 557912620
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:820d1de750f498c667d33d005639630a95ef21795a2de532cf862183a6eafd98
|
| 3 |
size 557912620
|
runs/Dec06_14-49-04_d5bb4b1a94cd/events.out.tfevents.1733496548.d5bb4b1a94cd.1189.0
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 sha256:6fdbc01f1c2254e67f70b8ef372273d0be0d8db2881061c05368c0bcac5dbafb
|
| 3 |
+
size 11713
|