ResAdapt
Collection
ResAdapt checkpoint, multimodal training mixture, and video-QA evaluation data. • 3 items • Updated
How to use Xnhyacinth/ResAdapt-Research-Checkpoint with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("Xnhyacinth/ResAdapt-Research-Checkpoint")
model = AutoModelForMultimodalLM.from_pretrained("Xnhyacinth/ResAdapt-Research-Checkpoint", device_map="auto")This repository preserves the Resadapt checkpoint and its loading files.
pred/: trained SmolVLM predictor checkpoint.predictor_smolv3_init/: initialization weights for the predictor.Six machine-specific paths in the predictor example code use portable placeholders. Replace those placeholders with your own model and media paths. Weight values and scientific identifiers are unchanged; this publication adds no inference or benchmark result.
ARTIFACTS.json records the source revision, per-file hashes, and the limited edits. Existing source terms remain applicable.