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Wisdom Ai

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

TipoText modelVersãomodelPublicador@LuckylobsterCnota

Fonte do modelo

Tipo
Text model
Tamanho do arquivo
1,50 GB
Versão
vmodel
Atualizado
21 de out. de 2026
Publicador
@Luckylobster
Downloads
10
Fonte
Hugging Face

Descrição da fonte

Model Card for Model ID

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: [More Information Needed]
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  • Shared by [optional]: [More Information Needed]
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  • Language(s) (NLP): [More Information Needed]
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  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

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Uses

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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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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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Software

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Fontes

1 fonte
Hugging FacePrimárioVersão c3e9e7f865c25388d74078bb871db8604ba82c52
huggingface.co/Luckylobster/wisdom_ai/tree/c3e9e7f865c25388d74078bb871db8604ba82c52

Verificado 21 de out.

Artefatos de modelo

1 artefato

model.safetensors

safetensors · 1,50 GB · SHA-256 a4e2fc4252a3…e1f7 · Hugging Face

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Trechos de fonte

3 trechos

--- library_name: transformers tags: - trl - sft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> 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. [More Information Needed] ## Training Details ### Training Data <!-- 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. --...

Source context: 10 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo Luckylobster/wisdom_ai

Source context: 12 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo Luckylobster/wisdom_ai