Instructions to use CodeIsAbstract/denoice-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/denoice-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CodeIsAbstract/denoice-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("CodeIsAbstract/denoice-finetuned-xsum") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2500
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 62293080
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6986ed38ce1140cb6aa3d55bf536be8aca70800856eb9d21f787426b766e580e
|
| 3 |
size 62293080
|