rlx-embed 0.2.4

RLX-backed text and image embedding models.

Migrated from burnembed — compiles BERT / NomicBERT / NomicVision graphs via rlx-runtime and exposes tier-0 inference helpers.

use rlx_models::embed::{Pooling, RlxBertModel, BertTokenizer, embed_with_rlx};

let tok = BertTokenizer::from_dir(model_dir, 512)?;
let mut model = RlxBertModel::load(&config, &weights)?;
let vecs = embed_with_rlx(&mut model, &tok, &["hello", "world"], Pooling::Mean)?;