llm-jp-1.3b-v1.0-aya
llm-jp's llm-jp-1.3b-v1.0 model fine-tuned on the Japanese examples from Cohere's aya dataset
| Model | llm-jp-eval AVG |
|---|---|
| kcoopermiller/llm-jp-1.3b-v1.0-aya | 0.0698 |
| llm-jp/llm-jp-1.3b-v1.0 | 0.047 |
How to use
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("kcoopermiller/llm-jp-1.3b-v1.0-aya")
model = AutoModelForCausalLM.from_pretrained("kcoopermiller/llm-jp-1.3b-v1.0-aya", device_map="auto")
text = "自然言語処理とは何か"
tokenized_input = tokenizer.encode(text, add_special_tokens=False, return_tensors="pt").to(model.device)
with torch.no_grad():
output = model.generate(
tokenized_input,
max_new_tokens=20,
do_sample=True,
top_p=0.90,
temperature=0.7,
)[0]
print(tokenizer.decode(output))