Alexander Nicholson
commited on
fix: README
Browse files
README.md
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library_name: peft
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# Model Card for
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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- **Developed by:**
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- **Funded by
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- **Shared by
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- **Model type:**
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- **Language(s) (NLP):**
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- **License:**
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- **Finetuned from model
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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[More Information Needed]
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### Framework versions
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- PEFT 0.15.0
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library_name: peft
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# Model Card for TableCheck's Fine-Tune of google/gemma-3-27b-it
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<!-- Provide a quick summary of what the model is/does. -->
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This fine-tuned model is designed for use with function calls to translate content between languages and extract tags from content.
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It has been trained on public data.
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## Model Details
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- **Developed by:** TableCheck AI
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- **Funded by:** TableCheck
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- **Shared by:** TableCheck
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- **Model type:** LoRa Adaptor
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- **Language(s) (NLP):** English / Japanese / Gemma 3 27B Supported Languages
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- **License:** Copyright TableCheck
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- **Finetuned from model:** google/gemma-3-27b-it
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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Trained from public data of venues.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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TBD
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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TBD
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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TBD
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#### Training Hyperparameters
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[More Information Needed]
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### Framework versions
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- PEFT 0.15.0
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