Instructions to use beomi/kcbert-base-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/kcbert-base-dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="beomi/kcbert-base-dev")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("beomi/kcbert-base-dev") model = AutoModelForMaskedLM.from_pretrained("beomi/kcbert-base-dev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f8c7abd
1
Parent(s): 90ffa45
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 sha256:8c417a8a73432166561f641fd74f0e78a3f772ee56acddb36fd84554736af85d
|
| 3 |
+
size 435807523
|