Feature Extraction
Transformers
Safetensors
English
clamr
multimodal
video-retrieval
late-interaction
Instructions to use meetdavidwan/clamr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meetdavidwan/clamr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="meetdavidwan/clamr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("meetdavidwan/clamr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "alpha_pattern": {}, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "Qwen/Qwen2.5-VL-3B-Instruct", | |
| "bias": "none", | |
| "corda_config": null, | |
| "eva_config": null, | |
| "exclude_modules": null, | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": "gaussian", | |
| "layer_replication": null, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "loftq_config": {}, | |
| "lora_alpha": 128, | |
| "lora_bias": false, | |
| "lora_dropout": 0.1, | |
| "megatron_config": null, | |
| "megatron_core": "megatron.core", | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 128, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": "(.*(model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)", | |
| "task_type": "FEATURE_EXTRACTION", | |
| "trainable_token_indices": null, | |
| "use_dora": false, | |
| "use_rslora": false | |
| } |