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---
base_model: unsloth/gemma-2-2b-it-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma2
- trl
license: apache-2.0
language:
- en
---
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("hiieu/gemma-2-2b-it-lora-vi-en")
tokenizer = tokenizer = AutoTokenizer.from_pretrained("hiieu/gemma-2-2b-it-lora-vi-en")
conversations = [
[{"role": "user", "content": "Good morning everybody"}],
[{"role": "user", "content": "Xin chào mọi người"}]
]
batch_input_ids = tokenizer.apply_chat_template(
conversations,
add_generation_prompt=True,
return_tensors="pt",
padding=True,
truncation=True
).to(model.device)
outputs = model.generate(
batch_input_ids,
max_new_tokens=256,
do_sample=True,
temperature=0.6,
top_p=0.9,
)
responses = outputs[:, batch_input_ids.shape[-1]:]
for response in responses:
print(tokenizer.decode(response, skip_special_tokens=True))
>>> Chào mọi người
>>> Hello everyone
```
# Uploaded model
- **Developed by:** hiieu
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2-2b-it-bnb-4bit
This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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