Instructions to use wames123/tinysearch1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wames123/tinysearch1.1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wames123/tinysearch1.1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:**
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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library_name: transformers
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datasets:
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- wames123/search_finetune
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base_model:
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- Qwen/Qwen2.5-0.5B-Instruct
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# Model Card for Model ID
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This is a super tiny model that is super good at performing web search. It can use two tools, search and fetch.
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<!-- Provide a quick summary of what the model is/does. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** William Ames
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- **Model type:** Some sort of Generative Pretrained Transformer lol
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- **License:** [More Information Needed]
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### Model Sources [optional]
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