metadata
language:
- th
- en
license: mit
base_model: aisingapore/sea-lion-7b-instruct
datasets:
- AIAT/Optimizer-datasetfinal
pipeline_tag: text-generation
Sea-lion2pandas
fine-tuned from sea-lion-7b-instruct with question-pandas expression pairs.
How to use:
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model = "aisingapore/sea-lion-7b-instruct"
adapter_model = "AIAT/Optimizer-sealion2pandas"
model = AutoModelForCausalLM.from_pretrained(base_model, trust_remote_code=True)
model = PeftModel.from_pretrained(model, adapter_model, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(base_model, trust_remote_code=True)
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