Instructions to use westlake-repl/SaProt_35M_AF2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use westlake-repl/SaProt_35M_AF2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="westlake-repl/SaProt_35M_AF2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("westlake-repl/SaProt_35M_AF2") model = AutoModelForMaskedLM.from_pretrained("westlake-repl/SaProt_35M_AF2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload SaProt_35M_AF2.pt
Browse files- SaProt_35M_AF2.pt +2 -2
SaProt_35M_AF2.pt
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 sha256:7adb9d736184d14c83eab30d03e6cc3183c01b71a99776d2c52de7ef0278883a
|
| 3 |
+
size 134867957
|