Instructions to use ikarosdev/Pegasus_MultiNews_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ikarosdev/Pegasus_MultiNews_Model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ikarosdev/Pegasus_MultiNews_Model") model = AutoModelForSeq2SeqLM.from_pretrained("ikarosdev/Pegasus_MultiNews_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2283804653
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b9916185b80ccba39befe4ae19e24aea8cc94f83e523ff64aeff4b9a68e5d2fd
|
| 3 |
size 2283804653
|
runs/Jun19_19-41-05_47d177e5b895/events.out.tfevents.1687203673.47d177e5b895.428.0
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:d098c0b4f610032f07f322653def7bf047becee5581a2ef1395af69228709e85
|
| 3 |
+
size 8020
|