Instructions to use sheoran95/shuffled_nodes_augmented_graphs_without_edge_document_level_T5_run2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sheoran95/shuffled_nodes_augmented_graphs_without_edge_document_level_T5_run2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sheoran95/shuffled_nodes_augmented_graphs_without_edge_document_level_T5_run2") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/shuffled_nodes_augmented_graphs_without_edge_document_level_T5_run2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 20
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242075737
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f2d7b605e65ac12a7dd2f94a3aa64844566dceea5a0711505b67ddd2d82ef1a
|
| 3 |
size 242075737
|
runs/Apr26_13-43-18_5d75ac410f13/events.out.tfevents.1682516604.5d75ac410f13.218.0
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 sha256:49dcabb95035b98fb24f109246205e7e15f3baf7195a9de63761695cad18b9c9
|
| 3 |
+
size 16539
|