Zero-Shot Classification
Transformers
ONNX
Safetensors
English
watersheep
feature-extraction
decision-model
calibration
multi-label
custom_code
Instructions to use samratduttaofficial/WaterSheep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samratduttaofficial/WaterSheep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="samratduttaofficial/WaterSheep", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samratduttaofficial/WaterSheep", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from samratduttaofficial/WaterSheep: direct link, hf CLI and curl.
- Browser
- Download file 2.77 kB
-
https://huggingface.co/samratduttaofficial/WaterSheep/resolve/main/config.json
- Command line
-
hf download hf://samratduttaofficial/WaterSheep/config.json
-
curl -L -o config.json https://huggingface.co/samratduttaofficial/WaterSheep/resolve/main/config.json
2.77 kB
| { | |
| "architectures": [ | |
| "WaterSheepModel" | |
| ], | |
| "model_type": "watersheep", | |
| "auto_map": { | |
| "AutoConfig": "modeling_watersheep.WaterSheepConfig", | |
| "AutoModel": "modeling_watersheep.WaterSheepModel" | |
| }, | |
| "custom_pipelines": { | |
| "zero-shot-classification": { | |
| "impl": "pipeline_watersheep.WaterSheepPipeline", | |
| "pt": [ | |
| "AutoModel" | |
| ] | |
| } | |
| }, | |
| "encoder_config": { | |
| "architectures": [ | |
| "ModernBertForMaskedLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 50281, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.0, | |
| "classifier_pooling": "mean", | |
| "cls_token_id": 50281, | |
| "decoder_bias": true, | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.0, | |
| "eos_token_id": 50282, | |
| "global_attn_every_n_layers": 3, | |
| "gradient_checkpointing": false, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 768, | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1152, | |
| "layer_norm_eps": 1e-05, | |
| "layer_types": [ | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "local_attention": 128, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "model_type": "modernbert", | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 22, | |
| "pad_token_id": 50283, | |
| "position_embedding_type": "absolute", | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 160000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sep_token_id": 50282, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.16.1", | |
| "vocab_size": 50368 | |
| }, | |
| "head_layers": 1, | |
| "max_len": 512, | |
| "max_question_tokens": 96, | |
| "max_option_tokens": 32, | |
| "max_options": 10, | |
| "temperatures": { | |
| "binary": 1.0594, | |
| "choice": 1.0631, | |
| "score": 1.0022, | |
| "multi": 0.8276 | |
| }, | |
| "multi_threshold": 0.5, | |
| "dtype": "float32", | |
| "transformers_version": "5.16.1" | |
| } | |