Instructions to use barthfab/drugprot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barthfab/drugprot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="barthfab/drugprot")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("barthfab/drugprot") model = AutoModel.from_pretrained("barthfab/drugprot") - Notebooks
- Google Colab
- Kaggle
Delete old model
#16
by barthfab - opened
- pytorch_model.bin +0 -3
pytorch_model.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:a5c76fa6a9d0504f514bfd45224489cac19e32e7df19f57cd1be771f548c3dec
|
| 3 |
-
size 433067437
|
|
|
|
|
|
|
|
|
|
|
|