Instructions to use AnonymousSub/CASCADE_recipe-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/CASCADE_recipe-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/CASCADE_recipe-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/CASCADE_recipe-bert-base-uncased") model = AutoModel.from_pretrained("AnonymousSub/CASCADE_recipe-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
Commit ·
e0e35eb
1
Parent(s): 4605c27
Upload model
Browse files- config.json +0 -0
- pytorch_model.bin +3 -0
config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ce59983d2afe124b4323291f3ac012abc00fb9b1d12240cd7ac7af2ebcf5d09a
|
| 3 |
+
size 437997357
|