Instructions to use soddokayo/klue-roberta-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soddokayo/klue-roberta-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="soddokayo/klue-roberta-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("soddokayo/klue-roberta-base-ner") model = AutoModelForTokenClassification.from_pretrained("soddokayo/klue-roberta-base-ner") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93601e9a6a8b9aac7f619020f04ec6fe1db1329e6e4d79870d68d85808cb4ebc
|
| 3 |
+
size 440178196
|