Instructions to use SkillScreen/SkillScreen-2B-Package-Experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-Package-Experimental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-Package-Experimental")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-Package-Experimental") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-Package-Experimental", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from SkillScreen/SkillScreen-2B-Package-Experimental: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/SkillScreen/SkillScreen-2B-Package-Experimental/resolve/main/config.json
- Command line
-
hf download hf://SkillScreen/SkillScreen-2B-Package-Experimental/config.json
-
curl -L -o config.json https://huggingface.co/SkillScreen/SkillScreen-2B-Package-Experimental/resolve/main/config.json
3.12 kB
| { | |
| "architectures": [ | |
| "Qwen3_5ForSequenceClassification" | |
| ], | |
| "dtype": "bfloat16", | |
| "id2label": { | |
| "0": "contradiction", | |
| "1": "entailment", | |
| "2": "neutral" | |
| }, | |
| "image_token_id": 248056, | |
| "label2id": { | |
| "contradiction": 0, | |
| "entailment": 1, | |
| "neutral": 2 | |
| }, | |
| "model_type": "qwen3_5", | |
| "nli_template": "Premise: {premise}\nHypothesis: {hypothesis}", | |
| "pad_token_id": 248044, | |
| "problem_type": "single_label_classification", | |
| "text_config": { | |
| "_name_or_path": "SkillScreen/SkillScreen-2B-Package-Experimental", | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_output_gate": true, | |
| "bos_token_id": null, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 248044, | |
| "full_attention_interval": 4, | |
| "head_dim": 256, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 6144, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention" | |
| ], | |
| "linear_conv_kernel_dim": 4, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
| "linear_num_value_heads": 16, | |
| "linear_value_head_dim": 128, | |
| "mamba_ssm_dtype": "float32", | |
| "max_position_embeddings": 262144, | |
| "mlp_only_layers": [], | |
| "model_type": "qwen3_5_text", | |
| "mtp_num_hidden_layers": 1, | |
| "mtp_use_dedicated_embeddings": false, | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 2, | |
| "pad_token_id": 248044, | |
| "partial_rotary_factor": 0.25, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 10000000, | |
| "rope_type": "default" | |
| }, | |
| "tie_word_embeddings": true, | |
| "use_cache": false, | |
| "vocab_size": 248320 | |
| }, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.17.0", | |
| "use_cache": false, | |
| "video_token_id": 248057, | |
| "vision_config": { | |
| "deepstack_visual_indexes": [], | |
| "depth": 24, | |
| "dtype": "bfloat16", | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 1024, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "model_type": "qwen3_5_vision", | |
| "num_heads": 16, | |
| "num_position_embeddings": 2304, | |
| "out_hidden_size": 2048, | |
| "patch_size": 16, | |
| "rope_parameters": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "axial" | |
| }, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 2 | |
| }, | |
| "vision_end_token_id": 248054, | |
| "vision_start_token_id": 248053 | |
| } | |