Instructions to use kykim/t5-kor-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kykim/t5-kor-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kykim/t5-kor-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kykim/t5-kor-small") model = AutoModel.from_pretrained("kykim/t5-kor-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
29fbf53
1
Parent(s): c713be5
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65eed4300de2de61f8eec3c2c05704b63d1173e44bedd991fc1c282b5f71b4d7
|
| 3 |
+
size 262250058
|