Instructions to use timodonnell/protein-docs-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timodonnell/protein-docs-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timodonnell/protein-docs-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
CHANGED
|
@@ -16,7 +16,7 @@
|
|
| 16 |
"single_word": false,
|
| 17 |
"special": true
|
| 18 |
},
|
| 19 |
-
"
|
| 20 |
"content": "<UNK>",
|
| 21 |
"lstrip": false,
|
| 22 |
"normalized": false,
|
|
|
|
| 16 |
"single_word": false,
|
| 17 |
"special": true
|
| 18 |
},
|
| 19 |
+
"2839": {
|
| 20 |
"content": "<UNK>",
|
| 21 |
"lstrip": false,
|
| 22 |
"normalized": false,
|