Instructions to use ombhojane/ckModelv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ombhojane/ckModelv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ombhojane/ckModelv2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ombhojane/ckModelv2") model = AutoModel.from_pretrained("ombhojane/ckModelv2") - Notebooks
- Google Colab
- Kaggle
Delete model.joblib
Browse files- model.joblib +0 -3
model.joblib
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:72e09faf56cde7f0cdfeb850389d64982adf8299d9b49b6c6567e0e7f5e0ae00
|
| 3 |
-
size 22545609
|
|
|
|
|
|
|
|
|
|
|
|