How to use Rnfudge/snapd-embedder-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Rnfudge/snapd-embedder-v1") sentences = [ "What is the significance of the IPv6 multicast address ff02::1?", "Felt board for classroom activities", "In the provided network output, the frequent appearance of `ff020000000000000000000000000001` across various interfaces like `lo`, `eth0`, and `eth1` indicates that these interfaces are correctly configured for basic IPv6 operations. Every active IPv6 interface on a segment must listen for messages sent to `ff02::1` to participate in essential link-local protocols, making its presence a standard and expected entry.", "Not all customizations are supported across all snapd image types or models. For example, certain customizations might be unsupported for UC20+ or classic models, leading to errors. Additionally, if a gadget snap itself defines `defaults` in its `meta/gadget.yaml`, these can be overridden or complemented by the `Customizations` provided during the `SetupSeed` call, affecting system services like SSH." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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