Instructions to use lifeofcoding/alpaca-lora-movie-review-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use lifeofcoding/alpaca-lora-movie-review-sentiment with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("lifeofcoding/alpaca-lora-movie-review-sentiment", set_active=True) - PEFT
How to use lifeofcoding/alpaca-lora-movie-review-sentiment with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Alpacha Movie Review Sentiment
- Model Details
- Uses
- Bias, Risks, and Limitations
- How to Get Started with the Model
- Training Details
- Evaluation
- Model Examination [optional]
- Environmental Impact
- Technical Specifications [optional]
- Citation [optional]
- Glossary [optional]
- More Information [optional]
- Model Card Authors [optional]
- Model Card Contact
Alpacha Movie Review Sentiment
My Attempts to train Alpaca-Lora on movie sentiment analysis, trained with the IMDB dataset.
Model Details
Fine tuned Alpaca-Lora on movie sentiment analysis
Model Description
This is not production ready by any means, just my experiment.
- Developed by: LifeOfCoding
- Shared by [optional]: [More Information Needed]
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- Language(s) (NLP): [More Information Needed]
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- Finetuned from model [optional]: Alpacha Lora
Model Sources [optional]
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- Paper [optional]: [More Information Needed]
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Uses
Direct Use
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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
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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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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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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Model Card Authors [optional]
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Model Card Contact
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