dodo2/kanana2_1_base_coaching

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Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: Do-Yoon Jung ([email protected])
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• Language(s) (NLP): [More Information Needed]
• License: Apache License v2.0
• Finetuned from model [optional]: [More Information Needed]

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• Repository: kakaocorp/kanana-nano-2.1b-base
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• Demo [optional]: [More Information Needed]

Quickstart

🤗 HuggingFace Transformers

• transformers>=4.45.0 or the latest version is required to run Kanana model.

pip install transformers>=4.45.0

Example Usage for kanana-nano-2.1b-base

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "dodo2/kanana2_1_base_coaching"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype=torch.bfloat16,
    trust_remote_code=True,
).to("cuda")
tokenizer = AutoTokenizer.from_pretrained(model_name, padding_side="left")
tokenizer.pad_token = tokenizer.eos_token

prompt1 = "어려운 사람을 도와주는 직업을 가지고 싶습니다. "
prompt2 = "간호사가 되려면 어떻게 해야하나요? "

input_ids = tokenizer(
    [prompt1, prompt2],
    padding=True,
    return_tensors="pt",
)["input_ids"].to("cuda")

_ = model.eval()
with torch.no_grad():
    output = model.generate(
        input_ids,
        max_new_tokens=32,
        do_sample=False,
    )

decoded = tokenizer.batch_decode(output, skip_special_tokens=True)
for text in decoded:
    print(text)

# Output:
# 
# 

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Bias, Risks, and Limitations

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Recommendations

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

Use the code below to get started with the model.

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Training Details

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Training Procedure

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Summary

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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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