Instructions to use GuysTrans/bart-base-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GuysTrans/bart-base-finetuned-xsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GuysTrans/bart-base-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("GuysTrans/bart-base-finetuned-xsum", 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 557971229
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1204de0151fc4c0bdda8e270d8045b92685f769189f267f207dc45ba75f3ff39
|
| 3 |
size 557971229
|
runs/Sep10_23-53-19_9083da0289b6/events.out.tfevents.1694390210.9083da0289b6.29.0
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 sha256:1b54a5b9f3b35ad80ab9ff1efc03d4d2e83bdde3f4ed97ba0b9cea1ddb2e5baa
|
| 3 |
+
size 6060
|