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--- |
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library_name: peft |
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pipeline_tag: text-generation |
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widget: |
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- text: 'Job: kitchen Keywords: inventory management Resume Point:' |
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example_title: kitchen |
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- text: 'Job: retail Keywords: customer service Resume Point:' |
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example_title: retail |
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- text: 'Job: laundry Keywords: organization Resume Point:' |
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example_title: laundry |
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tags: |
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- resume |
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language: |
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- en |
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datasets: |
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- isashap/resume-dataset-w-context |
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base_model: gpt2 |
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--- |
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## Training procedure |
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### Framework versions |
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-This version only has three jobs, limited keyword options. |
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-Check out some of the previous versions to see how far WaldoBot has come. |
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If you'd like to see the most effective keywords click the dataset underneath the text box. |
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Tips: |
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Sometimes one keyword works best. |
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If you want the resume to start with a specific verb, write it and let it autocomplete! (verb in past-tense form) |
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If the Waldobot doesnt finish generating a whole sentence, click compute again! |
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- PEFT 0.5.0 |
