Instructions to use gigant/bart-base-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/bart-base-xsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/bart-base-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/bart-base-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of epoch 1
Browse files- flax_model.msgpack +1 -1
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 557891914
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db99cac17168bb7763d5353300f6ebbc761fec9700e77e87684445af1152c769
|
| 3 |
size 557891914
|