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flan-alpaca-lora-base
reasonwang/flan-alpaca-lora-base
flan-alpaca-lora-base is a machine learning model from reasonwang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Out repository flan-alpaca-lora contains the details to train flan-t5 with Alpaca instructions and low-rank adaptation.
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Updated Apr 2, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 29, 2023
- Updated
- Apr 2, 2023
- SHA
- 535cae9f
Model card
From the Hugging Face model README
Out repository flan-alpaca-lora contains the details to train flan-t5 with Alpaca instructions and low-rank adaptation.
You can use the following code easily.
Usage:
import transformers
from peft import PeftModel
model_name = "google/flan-t5-large"; peft_model_id = "reasonwang/flan-alpaca-lora-large"
tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
base_model = transformers.AutoModelForSeq2SeqLM.from_pretrained(model_name)
peft_model = PeftModel.from_pretrained(base_model, peft_model_id)
inputs = tokenizer("List a few tips to get good scores in math.", return_tensors="pt")
outputs = peft_model.generate(**inputs, max_length=128, do_sample=True)
print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
- License
- apache-2.0
- Created
- Mar 29, 2023
- Updated
- Apr 2, 2023