Instructions to use sabayo/Marcaps-GPT-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sabayo/Marcaps-GPT-ft with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| pipeline_tag: text-generation | |
| license: apache-2.0 | |
| library_name: peft | |
| language: | |
| - en | |
| inference: true | |
| widget: | |
| - text: "What is the primary focus of the 'Brand Love' research in marketing?" | |
| example_title: "Brand Love Research" | |
| - text: "How does advertising intensity affect brand love?" | |
| example_title: "Advertising Intensity Effect" | |
| - text: "What role does R&D intensity play in building brand love?" | |
| example_title: "R&D and Brand Love" | |
| - text: "Does brand love impact a firm's short-term profitability?" | |
| example_title: "Brand Love and Profitability" | |
| tags: | |
| - trl | |
| - sft | |
| - generated_from_trainer | |
| base_model: tiiuae/falcon-7b-instruct | |
| model-index: | |
| - name: Marcaps-GPT-ft | |
| results: [] | |
| # Model Card for Model ID | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| ## Model Details | |
| ### Model Description | |
| <!-- Provide a longer summary of what this model is. --> | |
| This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. | |
| - **Developed by:** Marcaps LLC | |
| - **Model type:** Text Generation | |
| - **Language(s) (NLP):** English | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** tiiuae/falcon-7b-instruct | |
| ### Model Sources [optional] | |
| <!-- Provide the basic links for the model. --> | |
| - **Repository:** [More Information Needed] | |
| - **Paper [optional]:** [More Information Needed] | |
| - **Demo [optional]:** [More Information Needed] | |