Base Model
beomi/Yi-Ko-6B
Model Details
Model Description
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Uses
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_id = "TeamUNIVA/Komodo_6B_v2.0.0"
4
5model = AutoModelForCausalLM.from_pretrained(model_id)
6tokenizer = AutoTokenizer.from_pretrained(model_id)
7
8
9text = '''<|system|>
10당신은 사용자의 질문에 친절하게 답변을 하는 챗봇입니다.
11<|user|>
12안녕하세요?
13<|bot|>
14'''
15
16inputs = tokenizer(text, return_tensors="pt")
17outputs = model.generate(**inputs, max_new_tokens=20)
18print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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