Instructions to use paulh27/cnn_aligned_smallT5_iter1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/cnn_aligned_smallT5_iter1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/cnn_aligned_smallT5_iter1") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/cnn_aligned_smallT5_iter1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
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:d17053cb6ab9fa5a14bb08c8864e19e79d7a9288fecd450f16e2de54649ef76a
|
| 3 |
size 242041896
|
runs/Apr24_20-33-03_nlpg03.cs.washington.edu/events.out.tfevents.1714016954.nlpg03.cs.washington.edu.1914266.0
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:c795cc866f7c4d37ea331c81898579083d7c15862dbc79541f3fc87ef086d824
|
| 3 |
+
size 24764
|