Training details: https://github.com/CVI-SZU/Linly
from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch
model = "Linly-AI/Chinese-Falcon-7B"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
torch_dtype=torch.bfloat16,
trust_remote_code=True,
device_map="auto",
)
sequences = pipeline(
"User: 你如何看待996?\nBot: 我认为996制度是一种不可取的工作时间安排,因为这会导致员工过多的劳累和身心健康问题。此外,如果公司想要提高生产效率,应该采用更有效的管理方式,而不是通过强行加大工作量来达到目的。\nUser: 那么你有什么建议?\nBot:",
max_length=200,
do_sample=True,
top_k=10,
num_return_sequences=1,
eos_token_id=tokenizer.eos_token_id,
)
for seq in sequences:
print(f"Result: {seq['generated_text']}")
- Downloads last month
- 9
Inference API (serverless) does not yet support model repos that contain custom code.