Hugging Face Transformers text image embedding mismatch
Problem – Misaligned Text and Image Embeddings in a Multimodal Hugging Face Model When training a vision‑language model (e.g., CLIP, ViLT, BLIP) on a local workstation inside a Jupyter notebook, the downstream similarity or classification scores become meaningless after the first few steps. Typical symptoms include: Cosine similarity between matching text‑image pairs dropping to ~0.0 after … Read more