somosnlp-hackathon-2023
/

baizemocracy-lora-7B-cfqa-conv

Text2Text Generation

question answering

Retrieval Augmented Generation

Inference Endpoints

Model card Files Files and versions Community

jorge-henao commited on Apr 12, 2023

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05e7f26

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1 Parent(s): d571bc6

Update README.md

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@@ -69,7 +69,7 @@ import torch
 from peft import PeftModel, PeftConfig
 from transformers import AutoModelForCausalLM, AutoTokenizer
-peft_model_id = "hackathon-somos-nlp-2023/baizemocracy-lora-7B-cfqa"
 config = PeftConfig.from_pretrained(peft_model_id)
 base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf", return_dict=True, load_in_8bit=True, device_map='auto')
 tokenizer = AutoTokenizer.from_pretrained(peft_model_id)

 from peft import PeftModel, PeftConfig
 from transformers import AutoModelForCausalLM, AutoTokenizer
+peft_model_id = "hackathon-somos-nlp-2023/baizemocracy-lora-7B-cfqa-conv"
 config = PeftConfig.from_pretrained(peft_model_id)
 base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf", return_dict=True, load_in_8bit=True, device_map='auto')
 tokenizer = AutoTokenizer.from_pretrained(peft_model_id)