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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 44
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 sha256:7918ec8875157d5edf40ce4406424b797b82840d6bce8575eeb66d514e50c39d
|
| 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 sha256:26a74bde65f0cf9b9f7bf97274e70d2b49aae28ebfe2d46f9a40528d5205c310
|
| 3 |
+
size 87501
|