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---
library_name: transformers
inference:
parameters:
temperature: 1.1
top_p: 0.95
top_k: 30
repetition_penalty: 1
widget:
- text: Photosynthesis is
example_title: Textbook
group: Completion
- text: '<s> [INST] How to take care of exotic cars? [/INST] '
example_title: Wikihow
group: Completion
- text: '<s> [INST] Generate a story about Dark Knight [/INST] '
example_title: Story
group: Completion
license: apache-2.0
language:
- en
---
**Updated to v0.2**
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "frankenmerger/cosmo-3b-test-v0.2"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |