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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - hyewon127/fintech_2026 | |
| language: | |
| - ko | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - google/gemma-2-2b-it | |
| new_version: hyewon127/gemma_2b_it_fintech | |
| pipeline_tag: token-classification | |
| library_name: transformers | |