Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
Independent publisher
GM
gm84
Models in Library1
Datasets in Library1
Models on Hugging Face1
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This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Text classification.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
Datasets
Repository di telemetria e dati per la pipeline MLOps del modello di Sentiment Analysis (Twitter-RoBERTa). - metrics: Storico temporale dei batch di monitoraggio, andamento dell'indice F1 e distribuzione del sentiment (% Positivi, Negativi, Neutri). - data: Buffer di accumulo e snapshot utilizzati per il retraining continuo del modello.