Instructions to use Pstman/Text_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pstman/Text_summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pstman/Text_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Pstman/Text_summarization") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1625537293
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b3b74c91e15ee2488dfa9098c55849cee3098f2e7521709652eaa1ef8c4f265e
|
| 3 |
size 1625537293
|
runs/Jun07_13-33-43_e370174b2d35/events.out.tfevents.1686145233.e370174b2d35.1773.0
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:d78577f9c5c6374e41a72301f54f9a0aee17041db07ebef59c8a7d854a67ac94
|
| 3 |
+
size 7090
|