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reacted to Akjava's post with ๐Ÿ‘ 25 minutes ago
Initial API-Based Smolagents and Linear.app Integration Example https://huggingface.co/spaces/Akjava/linear-app-api-smolagents In short,this example contain get_todo_issue() tool and add_comment(),change_state_reviewing() function to linear.app Large language models, like 70B parameter models, can often readily utilize tools such as add_comment or change_state, potentially handling multiple issues concurrently. However, smaller models may require repeated calls to a tool or even fail to utilize it entirely. Therefore, this initial example focuses on the get_todo_issue() tool.
reacted to merve's post with ๐Ÿ˜Ž about 24 hours ago
IBM released https://huggingface.co/ibm-granite/granite-vision-3.1-2b-preview, a small vision LM with impressive performance on different tasks ๐Ÿ˜ฎ๐Ÿ”ฅ it comes with transformers and vLLM support from the get-go ๐Ÿ’— you can run it in Colab T4, so I built a notebook to put it to test, find it here: https://github.com/merveenoyan/smol-vision/blob/main/inference_gists/IBM_Granite_Vision.ipynb
upvoted a paper 1 day ago
Modular Training of Neural Networks aids Interpretability
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