Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Usage
from transformers import AutoTokenizer, pipeline
import torch
model = "Rhaps360/opt125m-ins-ft"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = pipeline(
"text-generation",
model=model,
model_kwargs={"torch_dtype": torch.bfloat16},
device="cpu"
)
messages = [
{"role": "user",
"content": "you are a poet who can write poem on machine learning",
"text":"write a poem on machine learning"}
]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(
prompt,
max_new_tokens=200,
do_sample=True,
temperature=0.00001,
top_k=50,
top_p=0.95,
repetition_penalty=20.0
)
print(outputs[0]["generated_text"][len(prompt):])
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