Instructions to use pcuenq/distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pcuenq/distilbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pcuenq/distilbert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pcuenq/distilbert-base-uncased") model = AutoModel.from_pretrained("pcuenq/distilbert-base-uncased") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#22
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:90295ed56fc68ca98b4d7011d1966e2149226ccb4226ae71b6935a723c665a31
|
| 3 |
+
size 265462608
|