metadata
license: mit
datasets:
- Joshi-Aryan/chat_test
language:
- en
library_name: transformers
pipeline_tag: question-answering
tags:
- chat
#Usage
pip install transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Joshi-Aryan/llama-2-7b-miniguanaco"
prompt = "What is a large language model?"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
sequences = pipeline(
f'[INST] {prompt} [/INST]',
do_sample=True,
top_k=10,
num_return_sequences=1,
eos_token_id=tokenizer.eos_token_id,
max_length=200,
)
for seq in sequences:
print(f"Result: {seq['generated_text']}")