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applicationTracker_DeBERTa_v3_base_finetuned
VivekMalipatel23/applicationTracker_DeBERTa_v3_base_finetuned
applicationTracker_DeBERTa_v3_base_finetuned is a zero-shot classification model from VivekMalipatel23. Use it when you need labels you did not train the model on. It is set up for transformers. The card lists the license as mit.
Model Finetuned with custom Emails data for tracking job applications from email mailbox.
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At a glance
- Task
- Zero-Shot Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Mar 7, 2024
- Updated
- Mar 8, 2024
- SHA
- 495c2479
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Base models
Model card
From the Hugging Face model README
Model Finetuned with custom Emails data for tracking job applications from email mailbox.
Hypothesis used for NLI Inference,
{
"Applied": "The email is related to a job application that the recipient has submitted, for instance, a confirmation email received after applying for a job.",
"Rejected": "The email is related to a rejection from a job application, indicating that the recipient was not selected for the job role or that the application will not be moving forward.",
"Irrelevant": "The email is not related to job applications, such as applying, being rejected, or being accepted for a job role. It does not pertain to the status or process of job applications.",
"Accepted": "The email is related to the acceptance of a job application, indicating that the recipient has not just applied but been selected or accepted for a job role following an application."
}
- Task
- Zero-Shot Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en
- Created
- Mar 7, 2024
- Updated
- Mar 8, 2024