Instructions to use ar5entum/bart_rom_dev_tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ar5entum/bart_rom_dev_tl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ar5entum/bart_rom_dev_tl") model = AutoModelForSeq2SeqLM.from_pretrained("ar5entum/bart_rom_dev_tl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 88
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 sha256:50bd607b07210f02c80d72da3a3ef74809b6e80d11b09faf31dda8c0828e9962
|
| 3 |
size 197603580
|
runs/Sep06_18-11-08_e2e-68-229/events.out.tfevents.1725660674.e2e-68-229.119248.0
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 sha256:6c6a65ce4ff83a5df316df1d0c0b294463998228d22597950704c7c5f13de203
|
| 3 |
+
size 169613
|