Instructions to use Rzoro/checkpoints_1_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rzoro/checkpoints_1_16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Rzoro/checkpoints_1_16") model = AutoModelForMultipleChoice.from_pretrained("Rzoro/checkpoints_1_16") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- pytorch_model.bin +1 -1
- training_args.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1740387701
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:94e55981fc5112e386e6ae73ac3a85bdd231bf9563478ab57ed8b64b2b6fcf3b
|
| 3 |
size 1740387701
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4155
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c24d52db1d58b3c1f043d60d23b89687a069c0efc15c9d5f191e0ee2f6b44624
|
| 3 |
size 4155
|