Instructions to use Dauka-transformers/interpro_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dauka-transformers/interpro_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Dauka-transformers/interpro_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Dauka-transformers/interpro_bert") model = AutoModelForMaskedLM.from_pretrained("Dauka-transformers/interpro_bert") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 213500
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1322166728
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:008c210c7d7da6c03f504d2b236ced8e7b297badc5c6d38561d92bdf7bc37836
|
| 3 |
size 1322166728
|
runs/Apr15_13-24-52_gpu212-14/events.out.tfevents.1713177778.gpu212-14.780132.0
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:fc9199697d510e587a2d085549cd3ed052c1b7f80e1a3d08ef7e13557287ba32
|
| 3 |
+
size 100064
|