server-inference push colbert_humor_detection
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# colbert_humor_detection
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---
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{}
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---
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# colbert_humor_detection
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40
config.json
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40
config.json
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{
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"model": null,
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"signature": {
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"description": "Determine whether the text is humorous or not humorous. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.",
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"properties": {
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"text": {
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"__dspy_field_type": "input",
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"desc": "Input text to classify for humor.",
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"prefix": "Text:",
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"title": "Text",
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"type": "string"
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},
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"reasoning": {
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"__dspy_field_type": "output",
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"desc": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant.",
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"prefix": "Reasoning:",
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"title": "Reasoning",
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"type": "string"
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},
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"humor_label": {
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"__dspy_field_type": "output",
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"desc": "Final label: 'humor' or 'not_humor'.",
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"enum": [
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"humor",
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"not_humor"
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],
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"prefix": "Humor Label:",
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"title": "Humor Label",
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"type": "string"
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}
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},
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"required": [
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"text",
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"reasoning",
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"humor_label"
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],
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"title": "ColBertHumorJudgeSig",
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"type": "object"
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}
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}
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40
program.json
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40
program.json
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{
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"traces": [],
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"train": [],
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"demos": [],
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"signature": {
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"instructions": "Determine whether the text is humorous or not humorous. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.",
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"fields": [
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{
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"prefix": "Text:",
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"description": "Input text to classify for humor."
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},
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{
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"prefix": "Reasoning:",
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"description": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant."
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},
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{
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"prefix": "Humor Label:",
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"description": "Final label: 'humor' or 'not_humor'."
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}
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]
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},
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"lm": {
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"model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo",
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"model_type": "chat",
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"cache": true,
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"num_retries": 3,
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"finetuning_model": null,
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"launch_kwargs": {},
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"train_kwargs": {},
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"temperature": null,
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"max_tokens": null
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},
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"metadata": {
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"dependency_versions": {
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"python": "3.11",
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"dspy": "3.1.3",
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"cloudpickle": "3.1"
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}
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}
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}
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