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 4500
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 sha256:423045306e4416e17f306e057ec5daa6df53afee6eafa2e6851897e1bafe3fab
|
| 3 |
size 557912620
|
runs/Dec07_10-45-11_55322c03af4e/events.out.tfevents.1733568312.55322c03af4e.230.1
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:d87347a2f5c1ef447f5bf2ed8c29b24b584a5a5842657e9d430ea4f0d9538fcd
|
| 3 |
+
size 8548
|