README.md

---
license: gemma
datasets:
- safetensors/trail_of_bits_audit_repot
language:
- es
metrics:
- transformersegmentation/segmentation_scores
base_model: google/gemma-2-9b-it
pipeline_tag: question-answering
library_name: fasttext
tags:
- finance
---
# Use a pipeline as a high-level helper
from transformers import pipeline

messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe = pipeline("text-generation", model="google/gemma-2-2b-it")
pipe(messages)# Use a pipeline as a high-level helper
from transformers import pipeline

messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe = pipeline("text-generation", model="google/gemma-2-2b-it")
pipe(messages)