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20231009
hwangsoyoon/20231009
20231009 is a machine learning model from hwangsoyoon. 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 unknown.
from huggingfacehub import notebooklogin
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Updated Oct 9, 2023
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At a glance
- License
- unknown
- Access
- Public
- Created
- Oct 9, 2023
- Updated
- Oct 9, 2023
- SHA
- 53a75029
Model card
From the Hugging Face model README
from huggingface_hub import notebook_login
notebook_login() model.push_to_hub("ybelkada/flan-t5-large-financial-phrasebank-lora", use_auth_token=True) import torch from peft import PeftModel, PeftConfig from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
peft_model_id = "ybelkada/flan-t5-large-financial-phrasebank-lora" config = PeftConfig.from_pretrained(peft_model_id)
model = AutoModelForSeq2SeqLM.from_pretrained(config.base_model_name_or_path, torch_dtype="auto", device_map="auto") tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
Load the Lora model
model = PeftModel.from_pretrained(model, peft_model_id) model.eval() input_text = "In January-September 2009 , the Group 's net interest income increased to EUR 112.4 mn from EUR 74.3 mn in January-September 2008 ." inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(input_ids=inputs["input_ids"], max_new_tokens=10)
print("input sentence: ", input_text) print(" output prediction: ", tokenizer.batch_decode(outputs.detach().cpu().numpy(), skip_special_tokens=True))
- License
- unknown
- Created
- Oct 9, 2023
- Updated
- Oct 9, 2023