Video-Text-to-Text
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
qwen2.5-vl
video-question-answering
resadapt
text-generation-inference
Instructions to use Xnhyacinth/Resadapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xnhyacinth/Resadapt with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Xnhyacinth/Resadapt") model = AutoModelForMultimodalLM.from_pretrained("Xnhyacinth/Resadapt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SmolPredictorForConditionalGeneration" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_predictor_smol.SmolPredictorConfig", | |
| "AutoModel": "modeling_predictor_smolv3.SmolPredictorForConditionalGeneration", | |
| "AutoModelForVision2Seq": "modeling_predictor_smolv3.SmolPredictorForConditionalGeneration" | |
| }, | |
| "beta_add_one": false, | |
| "beta_init_mode": "uniform", | |
| "beta_param_scale": 0.5, | |
| "continuous_dist": "beta", | |
| "continuous_eval_quantile": 0.5, | |
| "contrastive_margin": 0.0, | |
| "contrastive_temperature": 0.1, | |
| "contrastive_weight": 0.2, | |
| "cross_depth": 1, | |
| "dim_head": 64, | |
| "dirichlet_budget": 1.0, | |
| "dirichlet_eps": 1e-06, | |
| "dirichlet_init_weight_std": null, | |
| "dirichlet_logit_noise_std": 0.0, | |
| "dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "dual_path_depth": 1, | |
| "enable_rope_cache": true, | |
| "ff_mult": 4, | |
| "force_uniform_ab": false, | |
| "fps": 2.0, | |
| "frame_info_ema_alpha": 0.9, | |
| "frame_temporal_depth": 2, | |
| "gate_k_ratio": 0.25, | |
| "gate_mode": "gumbel_softmax", | |
| "gate_query_scale": 1.0, | |
| "gate_temperature": 1.0, | |
| "hidden_size": 768, | |
| "info_fuse_mode": "pooled_ln", | |
| "init_concentration": 6.0, | |
| "init_head": true, | |
| "init_scale_mean": 1.0, | |
| "init_weight_std": 0.001, | |
| "layer_fusion_indices": null, | |
| "layer_fusion_mode": "none", | |
| "layer_weighted_num_layers": 0, | |
| "llm_hidden_size": 768, | |
| "logistic_normal_init_sigma": 0.7, | |
| "max_frames": 128, | |
| "max_scale": 1.8, | |
| "min_scale": 0.2, | |
| "mlp_mode": "mlp", | |
| "model_type": "smol_predictor", | |
| "num_heads": 16, | |
| "out_hidden_size": 576, | |
| "output_dim": 1024, | |
| "patch_size": 16, | |
| "pool_gate_mode": "no_ln", | |
| "regression_head_mode": "mlp", | |
| "scale_bins": null, | |
| "self_depth": 2, | |
| "sim_gamma": 0.05, | |
| "sim_scale_weight": 0.2, | |
| "sim_tau": 0.6, | |
| "sim_temp": 0.15, | |
| "smol_model_name": "HuggingFaceTB/SmolVLM2-256M-Video-Instruct", | |
| "spatial_merge_size": 2, | |
| "temporal_mixer_depth": 1, | |
| "temporal_use_pos": true, | |
| "text_encoder_depth": 0, | |
| "text_encoder_dropout": 0.0, | |
| "text_encoder_ff_mult": 4, | |
| "text_encoder_heads": null, | |
| "transformers_version": "4.57.6", | |
| "use_cross_attn_gate": true, | |
| "use_differentiable_importance": false, | |
| "use_dirichlet_budget": false, | |
| "use_discrete_action": false, | |
| "use_frame_info": false, | |
| "use_learned_pooling": true, | |
| "use_text": true, | |
| "use_text_conditioned_spatial": false, | |
| "use_text_encoder": false, | |
| "vision_hidden_size": 576, | |
| "vlp_mode": "mlp", | |
| "vocab_size": 49280 | |
| } | |