Instructions to use jerteh/Jerteh-81 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jerteh/Jerteh-81 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jerteh/Jerteh-81")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jerteh/Jerteh-81") model = AutoModelForMaskedLM.from_pretrained("jerteh/Jerteh-81") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:69a108bc46c60f929b3bcb4517778a802bb0091007b21e6bb2f001916dbea2db
|
| 3 |
+
size 325274016
|