Instructions to use maryamali/cnn_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maryamali/cnn_summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("maryamali/cnn_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("maryamali/cnn_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242041896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e60cc58f5415910962d1d53175d73a9dc615838b14cef3ddcc83f45329d11465
|
| 3 |
size 242041896
|
runs/May08_06-54-32_40aa8cbfd0a6/events.out.tfevents.1715151503.40aa8cbfd0a6.538.0
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 sha256:277871a49f45c00bfd185abcf13f3a8e4725ba9a6f039321191d60c9a3c08b5b
|
| 3 |
+
size 6603
|