Instructions to use mimi33/tiny30M_JGLUE_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mimi33/tiny30M_JGLUE_tuning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mimi33/tiny30M_JGLUE_tuning") model = AutoModelForSeq2SeqLM.from_pretrained("mimi33/tiny30M_JGLUE_tuning") - Notebooks
- Google Colab
- Kaggle
Upload spiece.model with huggingface_hub
Browse files- spiece.model +3 -0
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:903e2fa14208eedb968762a790592e6eeeee3eb57524b181f7d2d577d8b964d2
|
| 3 |
+
size 776762
|