Instructions to use M-CLIP/Swedish-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-CLIP/Swedish-2M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="M-CLIP/Swedish-2M")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("M-CLIP/Swedish-2M") model = AutoModel.from_pretrained("M-CLIP/Swedish-2M") - Notebooks
- Google Colab
- Kaggle
Commit ·
bc7435b
1
Parent(s): b93cc88
upload flax model
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 sha256:7e7d689c9de1efd13c6eb1a31e3466cae2f908ebce299810885e328755953c87
|
| 3 |
+
size 498770925
|