docs: model files build locally — hub-referenced models not supported (#1495) - #77
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… (#1495) Document the #1495 contract on the Customize Models page: a model file must build its architecture from local code; tracebloc does not fetch models, weights, tokenizers, or configs from an external hub (HuggingFace) at training time. Removes the retired model_id / hf_token 'additional variables' and adds the pretrained-weights-upload + tokenizer.json guidance and the strict weight-load note. Refs #1151. Documents #1495. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Documents the #1495 contract on the Customize Models page (
join-use-case/model-optimization.mdx):from_pretrained("<hub-id>"), nomodel_id/tokenizer_id/hf_token. Start from pretrained by downloading weights once and uploading them; ship atokenizer.jsonfor NLP.model_id/hf_tokenadditional variables (they now fail upload) and points to the new section.developauto-deploys to production, and this describes behavior that isn't live until backend#1505 + tracebloc-py-package#380 reach prod. Un-draft + merge once they're deployed.Refs #1151 · Documents #1495.
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