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falcon-1b-movie-sentiment-analysis
Jonny00/falcon-1b-movie-sentiment-analysis
falcon-1b-movie-sentiment-analysis is a machine learning model from Jonny00. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
Quick and dirty hack for binary movie sentiment analysis.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 1, 2024
- Updated
- Jan 1, 2024
- SHA
- 67d525bd
Base models
Model card
From the Hugging Face model README
Model Description
Quick and dirty hack for binary movie sentiment analysis.
Finetuned with LoRA (PEFT) on ericzzz/falcon-rw-1b-instruct-openorca.
Trained on a subset of IMDB Dataset of 50K Movie Reviews from Kaggle:
To load the model you can use this code:
PEFT_MODEL = "Jonny00/falcon-1b-movie-sentiment-analysis"
config = PeftConfig.from_pretrained(PEFT_MODEL)
model = AutoModelForCausalLM.from_pretrained(
config.base_model_name_or_path,
return_dict=True,
device_map="auto",
trust_remote_code=True)
tokenizer=AutoTokenizer.from_pretrained(config.base_model_name_or_path)
tokenizer.pad_token = tokenizer.eos_token
model = PeftModel.from_pretrained(model, PEFT_MODEL)
Input: ("<human>: This movie sucks, I'd rather stay at home! <assistant>:")
Output: ("... negative <assistant>: negative <assistant>: negative ...")
Example Google Colab Code
https://colab.research.google.com/drive/1LUILztSocpqpMz8xACbtmxl-W-cORXRZ?usp=sharing
Framework versions
- PEFT 0.7.1
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Jan 1, 2024
- Updated
- Jan 1, 2024