license: mit
datasets:
- Abirate/english_quotes
language:
- en
library_name: adapter-transformers
pipeline_tag: text-generation
Model Card for Model ID
This model is a PEFT model based on TurkuNLP/gpt3-finnish-small
Model Details
Model Description
- Model type: PEFT Model
- Language(s) (NLP): EN
- License: mit
- Finetuned from model [optional]: TurkuNLP/gpt3-finnish-small
Uses
Direct Use
import torch
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer
peft_model_id = "Yooko/gpt3-finnish-small-ft-AbirateEN"
config = PeftConfig.from_pretrained(peft_model_id)
model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, 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)
Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
Training Data
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Training Procedure
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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