README.md

metadata

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)