Reinforcement Learning
stable-baselines3
English
sales_conversion_rl
sales
conversation-analysis
conversion-prediction
ppo
turn-by-turn-analysis
Instructions to use DeepMostInnovations/sales-conversion-model-reinf-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DeepMostInnovations/sales-conversion-model-reinf-learning with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DeepMostInnovations/sales-conversion-model-reinf-learning", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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<a href="https://www.buymeacoffee.com/nandakishorm" target="_blank">
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<img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me a Coffee" style="height: 60px !important;width: 217px !important;">
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---
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license: mit
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library_name: stable-baselines3
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tags:
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- reinforcement-learning
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- sales
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- conversation-analysis
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- conversion-prediction
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- ppo
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- turn-by-turn-analysis
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language:
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- en
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pipeline_tag: reinforcement-learning
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inference: true
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datasets:
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- synthetic
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metrics:
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- name: Conversion Prediction Accuracy
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- name: Inference Time
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widget:
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- text: "user: I'm interested in your product\nassistant: Thank you for your interest. How can I help you today?"
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- text: "user: What's your pricing?\nassistant: Our plans start at $10/user/month"
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---
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# Sales Conversation Analysis Model - Turn-by-Turn Prediction
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[](https://www.python.org/downloads/)
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---
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license: mit
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library_name: stable-baselines3
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tags:
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- reinforcement-learning
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- sales
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- conversation-analysis
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- conversion-prediction
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- ppo
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- turn-by-turn-analysis
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language:
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- en
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pipeline_tag: reinforcement-learning
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inference: true
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datasets:
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- synthetic
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metrics:
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- name: Conversion Prediction Accuracy
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type: accuracy
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value: 0.967
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- name: Inference Time
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type: speed
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value: 85
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widget:
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- text: "user: I'm interested in your product\nassistant: Thank you for your interest. How can I help you today?"
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example_title: Early Stage Prospect
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- text: "user: What's your pricing?\nassistant: Our plans start at $10/user/month"
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example_title: Price Discussion
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---
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<p align="center">
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<a href="https://www.buymeacoffee.com/nandakishorm" target="_blank">
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<img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me a Coffee" style="height: 60px !important;width: 217px !important;">
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</a>
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</p>
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# Sales Conversation Analysis Model - Turn-by-Turn Prediction
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[](https://www.python.org/downloads/)
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