metadata
pipeline_tag: text-generation
library_name: transformers
license: apache-2.0
base_model: google/t5gemma-s-s-ul2-it
model_type: t5gemma
T5Gemma Fine-tuned Model
This is a fine-tuned T5Gemma model for text-to-text generation tasks.
Model Details
- Base Model: google/t5gemma-s-s-ul2-it
- Architecture: T5GemmaForConditionalGeneration
- Task: Text-to-text generation
- Framework: Transformers
Usage
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("your-username/model-name")
model = AutoModelForSeq2SeqLM.from_pretrained("your-username/model-name")
# Use with chat template
messages = [{"role": "user", "content": "Your input text here"}]
input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
outputs = model.generate(input_ids, max_new_tokens=1024, temperature=0.1, do_sample=True)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)