Instructions to use clemsadand/quote_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use clemsadand/quote_generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2") model = PeftModel.from_pretrained(base_model, "clemsadand/quote_generator") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -23,7 +23,7 @@ The Quote Generator is built on top of the GPT-2 model, fine-tuned using the Low
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- **Developed by:** Clément Adandé
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<!-- - **Funded by [optional]:** N/A -->
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- **Shared by [optional]:** Clément Adandé
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- **Model type:** Language Model (NLP)
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- **Language(s) (NLP):** English
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- **License:** MIT
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The model can be directly used to generate quotes for various applications, such as social media content, motivational messages, and creative writing.
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### Downstream Use
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- **Developed by:** Clément Adandé
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<!-- - **Funded by [optional]:** N/A -->
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<!-- - **Shared by [optional]:** Clément Adandé -->
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- **Model type:** Language Model (NLP)
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- **Language(s) (NLP):** English
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- **License:** MIT
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The model can be directly used to generate quotes for various applications, such as social media content, motivational messages, and creative writing.
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### Downstream Use
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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