Instructions to use GanjinZero/UMLSBert_ENG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanjinZero/UMLSBert_ENG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GanjinZero/UMLSBert_ENG")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanjinZero/UMLSBert_ENG") model = AutoModel.from_pretrained("GanjinZero/UMLSBert_ENG") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -1,2 +1,3 @@
|
|
| 1 |
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 2 |
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 1 |
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 2 |
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:861fbd45c0ae6b463637480bcf0e4da63f5bbded56d28b8d5b9bcee8a0153999
|
| 3 |
+
size 437955508
|