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Timesfm Finance LoRA

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...

TipoLoRAModelo basegoogle/timesfm-2.5-200m-transformersVersiónadapter_modelBcalidad

Fuente del modelo

Tipo
LoRA
Tamaño del archivo
5,31 MB
Modelo base
google/timesfm-2.5-200m-transformers
Versión
vadapter_model
Actualizado
27 oct 2026
Descargas
8
Fuente
Hugging Face

Descripción de la fuente

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Recommendations

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Training Details

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Framework versions

  • PEFT 0.19.1

Fuentes

1 fuente
Hugging FacePrincipalVersión f92938d91f1ad52bae921feb69567be2ed3f751b
huggingface.co/NiLu77/timesfm-finance-lora/tree/f92938d91f1ad52bae921feb69567be2ed3f751b

Verificado 27 oct

Artefactos del modelo

1 artefacto

adapter_model.safetensors

safetensors · 5,31 MB · SHA-256 aeeff4103418…6ddd · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: google/timesfm-2.5-200m-transformers library_name: peft tags: - base_model:adapter:google/timesfm-2.5-200m-transformers - lora - transformers --- # 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. --> - **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. --> [More Information Need...

Source context: 8 downloads · 0 likes · Library peft · Repo NiLu77/timesfm-finance-lora

Source context: 30 downloads · 0 likes · Library peft · Repo NiLu77/timesfm-finance-lora