Instructions to use patrickvonplaten/bart-large-fp32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/bart-large-fp32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="patrickvonplaten/bart-large-fp32")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/bart-large-fp32") model = AutoModel.from_pretrained("patrickvonplaten/bart-large-fp32") - Notebooks
- Google Colab
- Kaggle
Commit ·
f7be05a
1
Parent(s): 1e6e6eb
add flax
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a197c46666b53bbf25f866dfb864f0067dc9716aee578a4668794407bee49a36
|
| 3 |
+
size 1625183776
|