Text Classification
Transformers
Safetensors
English
lfm2_vl
feature-extraction
decision-model
typed-decisions
system-one
shell
guardrail
command-risk
lfm2
liquid
lora
custom_code
Eval Results (legacy)
Instructions to use yannelli/d1-3b-cli-command-risk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yannelli/d1-3b-cli-command-risk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yannelli/d1-3b-cli-command-risk", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("yannelli/d1-3b-cli-command-risk", trust_remote_code=True) model = AutoModel.from_pretrained("yannelli/d1-3b-cli-command-risk", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from yannelli/d1-3b-cli-command-risk: direct link, hf CLI and curl.
- Browser
- Download file 2.75 kB
-
https://huggingface.co/yannelli/d1-3b-cli-command-risk/resolve/main/config.json
- Command line
-
hf download hf://yannelli/d1-3b-cli-command-risk/config.json
-
curl -L -o config.json https://huggingface.co/yannelli/d1-3b-cli-command-risk/resolve/main/config.json
2.75 kB
| { | |
| "architectures": [ | |
| "D1Model" | |
| ], | |
| "auto_map": { | |
| "AutoModel": "modeling_d1.D1Model" | |
| }, | |
| "bos_token_id": 124894, | |
| "do_image_splitting": true, | |
| "do_resize": true, | |
| "downsample_factor": 2, | |
| "dtype": "bfloat16", | |
| "encoder_patch_size": 16, | |
| "eos_token_id": 124900, | |
| "image_token_id": 124907, | |
| "max_image_tokens": 256, | |
| "max_num_patches": 1024, | |
| "max_pixels_tolerance": 2.0, | |
| "max_tiles": 10, | |
| "min_image_tokens": 64, | |
| "min_tiles": 2, | |
| "model_type": "lfm2_vl", | |
| "pad_token_id": 124893, | |
| "projector_bias": true, | |
| "projector_hidden_act": "gelu", | |
| "projector_hidden_size": 2048, | |
| "projector_use_layernorm": false, | |
| "text_config": { | |
| "architectures": [ | |
| "Lfm2ForCausalLM" | |
| ], | |
| "block__name_mlp": "parallel_mlp_merged", | |
| "block_auto_adjust_ff_dim": false, | |
| "block_dim": 2048, | |
| "block_ffn_dim_multiplier": 1.0, | |
| "block_multiple_of": 256, | |
| "block_norm_eps": 1e-05, | |
| "block_use_swiglu": true, | |
| "bos_token_id": 124894, | |
| "conv_L_cache": 3, | |
| "conv_bias": false, | |
| "conv_dim": 2048, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 124900, | |
| "full_attn_idxs": null, | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 10752, | |
| "layer_types": [ | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv" | |
| ], | |
| "max_position_embeddings": 32768, | |
| "model_type": "lfm2", | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 32, | |
| "num_heads": 32, | |
| "num_hidden_layers": 30, | |
| "num_key_value_heads": 8, | |
| "output_softcap": 0.0, | |
| "pad_token_id": 124893, | |
| "rope_parameters": { | |
| "rope_theta": 1000000.0, | |
| "rope_type": "default" | |
| }, | |
| "tie_word_embeddings": true, | |
| "use_cache": true, | |
| "use_pos_enc": true, | |
| "vocab_size": 128000 | |
| }, | |
| "tie_word_embeddings": true, | |
| "tile_size": 512, | |
| "transformers_version": "5.19.0", | |
| "use_image_special_tokens": true, | |
| "use_thumbnail": true, | |
| "vision_config": { | |
| "attention_dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 1152, | |
| "intermediate_size": 4304, | |
| "layer_norm_eps": 1e-06, | |
| "model_type": "siglip2_vision_model", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 27, | |
| "num_patches": 256, | |
| "patch_size": 16, | |
| "vision_use_head": false | |
| } | |
| } | |