Instructions to use ar5entum/bart_dev_rom_tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ar5entum/bart_dev_rom_tl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ar5entum/bart_dev_rom_tl") model = AutoModelForSeq2SeqLM.from_pretrained("ar5entum/bart_dev_rom_tl") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 96
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 197603580
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aac91ab820c7d01b5d47469756e782abb00437b980e94c0653a4984046f32e9f
|
| 3 |
size 197603580
|
runs/Sep06_20-01-55_e2e-68-229/events.out.tfevents.1725667323.e2e-68-229.123072.0
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 sha256:1198ead3720e0c121003ff360be9f1de0bd790aa3e5fa5d3ebfe72de8171e4f4
|
| 3 |
+
size 184600
|