Instructions to use ycool/bart-base-finetuned-plos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ycool/bart-base-finetuned-plos with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ycool/bart-base-finetuned-plos") model = AutoModelForSeq2SeqLM.from_pretrained("ycool/bart-base-finetuned-plos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 6500
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 sha256:7d25530543213095e3ff83cec683c6de1ae5346526c2250864e1e8a71c5019b2
|
| 3 |
size 557971229
|
runs/Apr04_23-13-47_be27ea0920dd/events.out.tfevents.1680650257.be27ea0920dd.304.0
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:f186477b0073e58851a443eb3f07ee29cf393d72bb51c1cd71217963ba796f9d
|
| 3 |
+
size 7227
|