400M_model_half_epoch
LoRA-finetuned Llama-400M model
Model Details
This model is a LoRA-finetuned version of YongganFu/Llama-400M-12L.
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "lxaw/400M_model_half_epoch"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Example usage
input_text = "What is the capital of France?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(inputs.input_ids, max_length=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Example Output
Input: What is the capital of France?
Output: What is the capital of France?
The capital of France is Paris, located in the heart of France. It is the largest city in France and is known for its rich history, beautiful architecture, delicious food, and friendly people.
- Downloads last month
- 0
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support
HF Inference deployability: The model has no pipeline_tag.