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
Upload 2 files
Browse files- config.json +1 -1
- tokenizer.json +0 -0
config.json
CHANGED
|
@@ -23,5 +23,5 @@
|
|
| 23 |
"transformers_version": "4.27.2",
|
| 24 |
"type_vocab_size": 1,
|
| 25 |
"use_cache": true,
|
| 26 |
-
"vocab_size":
|
| 27 |
}
|
|
|
|
| 23 |
"transformers_version": "4.27.2",
|
| 24 |
"type_vocab_size": 1,
|
| 25 |
"use_cache": true,
|
| 26 |
+
"vocab_size": 49152
|
| 27 |
}
|
tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|