Token Classification
Transformers
Safetensors
Korean
gemma
text-generation
text-generation-inference
Instructions to use hyewon127/gemma_2b_it_fintech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyewon127/gemma_2b_it_fintech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hyewon127/gemma_2b_it_fintech")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hyewon127/gemma_2b_it_fintech") model = AutoModelForCausalLM.from_pretrained("hyewon127/gemma_2b_it_fintech") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,14 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
datasets:
|
| 4 |
+
- hyewon127/fintech_2026
|
| 5 |
+
language:
|
| 6 |
+
- ko
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
base_model:
|
| 10 |
+
- google/gemma-2-2b-it
|
| 11 |
+
new_version: hyewon127/gemma_2b_it_fintech
|
| 12 |
+
pipeline_tag: text-classification
|
| 13 |
+
library_name: transformers
|
| 14 |
+
---
|