Lapvqa Vqa Pretrain Captioning
Part of the LAPVQA collection.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 197 MB
- Versión
- vPretrain captioning best
- Actualizado
- 10 oct 2026
- Fuente
- Hugging Face
Descripción de la fuente
LAPVQA — VQA (Captioning-Pretrained Encoder)
Part of the LAPVQA collection.
Description
VQA task head trained on top of the LAPVQA captioning-pretrained encoder
(lapvqa-pretrain-captioning).
The encoder is kept frozen; this checkpoint contains the VQAHead state dict only.
The encoder outputs 1024-dim patch tokens (ViT-L/14).
Loading
import torch
from lapvqa.vqa.model import VQAHead
ckpt = torch.load("pretrain-captioning_best.pt", map_location="cpu")
head = VQAHead(vis_dim=1024)
head.load_state_dict(ckpt)
head.eval()
# pair with encoder_final.pt from lapvqa-pretrain-captioning
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 10 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- tags: - chest-xray - radiology - visual-question-answering - mimic-cxr license: apache-2.0 --- # LAPVQA — VQA (Captioning-Pretrained Encoder) Part of the [LAPVQA collection](https://huggingface.co/collections/dmusingu/lapvqa). ## Description VQA task head trained on top of the **LAPVQA captioning-pretrained encoder** ([`lapvqa-pretrain-captioning`](https://huggingface.co/dmusingu/lapvqa-pretrain-captioning)). The encoder is kept frozen; this checkpoint contains the `VQAHead` state dict only. The encoder outputs 1024-dim patch tokens (ViT-L/14). ## Loading ```python import torch from lapvqa.vqa.model import VQAHead ckpt = torch.load("pretrain-captioning_best.pt", map_location="cpu") head = VQAHead(vis_dim=1024) head.load_state_dict(ckpt) head.eval() # pair with encoder_final.pt from lapvqa-pretrain-captioning ```
Source context: 0 downloads · 0 likes · Pipeline visual-question-answering · Repo dmusingu/lapvqa-vqa-pretrain-captioning
