Instructions to use debbiesoon/summarise_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/summarise_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/summarise_v2") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/summarise_v2") - Notebooks
- Google Colab
- Kaggle
Commit ·
b41c68d
1
Parent(s): f0c14c7
Training complete
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 647678513
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dea407e0aa60f7e9f5d4fc466d41b9bb4be350822bcdfbb2ea35ee114841b475
|
| 3 |
size 647678513
|
runs/Oct16_05-30-31_91e119e16fc2/events.out.tfevents.1665898246.91e119e16fc2.95.0
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 sha256:2b7046143c05efbe00f1b9dfbefc0487152205bfe606a9629894394ce7cbe0e6
|
| 3 |
+
size 13833
|