Instructions to use sheoran95/augmented_nodes_shuffled_graphs_without_edge_document_level_BART_run3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sheoran95/augmented_nodes_shuffled_graphs_without_edge_document_level_BART_run3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sheoran95/augmented_nodes_shuffled_graphs_without_edge_document_level_BART_run3") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/augmented_nodes_shuffled_graphs_without_edge_document_level_BART_run3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1625664397
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:205b9000b2028a0e5b169089867d3f6c402b3c2515b4db0fff10e48db7fa068e
|
| 3 |
size 1625664397
|
runs/Apr16_15-14-05_298e2a777e8b/events.out.tfevents.1681658387.298e2a777e8b.838.0
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 sha256:64b29ed61732393ccf4f3821bcf88d0436d74f8987d0f4a180fa50a83f09fe7e
|
| 3 |
+
size 8617
|