Instructions to use naclbit/trin_tokenizer_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naclbit/trin_tokenizer_v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("naclbit/trin_tokenizer_v3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload spiece.model
Browse filesAdded instruct tokens
- spiece.model +2 -2
spiece.model
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec31a22c0dca80dc303894ca87547154961b22e312c10c6fab751db7c4584439
|
| 3 |
+
size 1186989
|