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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- cnn_dailymail
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model-index:
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- name: QLoRA-Flan-T5-Small
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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1. Loading the model
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-
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import torch
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from peft import PeftModel, PeftConfig
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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# Load the Lora model
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model = PeftModel.from_pretrained(model, peft_model_id, device_map={"":0})
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model.eval()
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## Training procedure
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- Transformers 4.27.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.9.0
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- Tokenizers 0.13.3
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license: apache-2.0
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tags:
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- generated_from_trainer
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- t5
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- flan
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- small
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- peft
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- QLoRA
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datasets:
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- cnn_dailymail
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model-index:
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- name: QLoRA-Flan-T5-Small
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results: []
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metrics:
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- rouge
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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1. Loading the model
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```python
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import torch
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from peft import PeftModel, PeftConfig
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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# Load the Lora model
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model = PeftModel.from_pretrained(model, peft_model_id, device_map={"":0})
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model.eval()
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```
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## Training procedure
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- Transformers 4.27.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.9.0
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- Tokenizers 0.13.3
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