Instructions to use grenmon/bart-large-finetuned-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grenmon/bart-large-finetuned-summarization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="grenmon/bart-large-finetuned-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("grenmon/bart-large-finetuned-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("grenmon/bart-large-finetuned-summarization") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1625541389
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e85074de42a72526649f98ab61cc09508b8fee87f67df6885648dc986eb989f9
|
| 3 |
size 1625541389
|
runs/May12_14-28-23_ba2393e9f9f5/events.out.tfevents.1683901716.ba2393e9f9f5.16333.0
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 sha256:2678e6dd0ce25b162eed4a27cb778000319f2cfc53181e7b5b0569b13e297867
|
| 3 |
+
size 7743
|