Instructions to use terzimert/Wikian_mgpt_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use terzimert/Wikian_mgpt_32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="terzimert/Wikian_mgpt_32")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("terzimert/Wikian_mgpt_32") model = AutoModelForTokenClassification.from_pretrained("terzimert/Wikian_mgpt_32") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:f649a139b2b61cd097c7c0497ad1929cfccf6e609655cb9d944af170e0b69584
|
| 3 |
+
size 5771152444
|