Instructions to use universalml/Nepali_Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalml/Nepali_Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("universalml/Nepali_Tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,11 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
---
|
| 5 |
|
| 6 |
# Model Card for Model ID
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
+
license: mit
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
- ne
|
| 7 |
+
base_model:
|
| 8 |
+
- microsoft/Phi-3.5-mini-instruct
|
| 9 |
---
|
| 10 |
|
| 11 |
# Model Card for Model ID
|