Token Classification
Transformers
ONNX
Safetensors
modernbert
text-compression
context-compression
yscompress
Instructions to use decompute/yscompress-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use decompute/yscompress-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="decompute/yscompress-v1")# Load model directly from transformers import AutoTokenizer, YSCompressor tokenizer = AutoTokenizer.from_pretrained("decompute/yscompress-v1") model = YSCompressor.from_pretrained("decompute/yscompress-v1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "return_dict": true, | |
| "output_hidden_states": false, | |
| "torchscript": false, | |
| "dtype": "float32", | |
| "pruned_heads": {}, | |
| "tie_word_embeddings": true, | |
| "chunk_size_feed_forward": 0, | |
| "is_encoder_decoder": false, | |
| "is_decoder": false, | |
| "cross_attention_hidden_size": null, | |
| "add_cross_attention": false, | |
| "tie_encoder_decoder": false, | |
| "architectures": [ | |
| "YSCompressor" | |
| ], | |
| "finetuning_task": "token-compression", | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "task_specific_params": { | |
| "token_compression": { | |
| "span_cnn_hidden": 256, | |
| "span_kernel_sizes": [ | |
| 5, | |
| 3 | |
| ], | |
| "span_loss_weight": 0.3 | |
| } | |
| }, | |
| "problem_type": null, | |
| "tokenizer_class": null, | |
| "prefix": null, | |
| "bos_token_id": 50281, | |
| "pad_token_id": 50283, | |
| "eos_token_id": 50282, | |
| "sep_token_id": 50282, | |
| "decoder_start_token_id": null, | |
| "max_length": 20, | |
| "min_length": 0, | |
| "do_sample": false, | |
| "early_stopping": false, | |
| "num_beams": 1, | |
| "temperature": 1.0, | |
| "top_k": 50, | |
| "top_p": 1.0, | |
| "typical_p": 1.0, | |
| "repetition_penalty": 1.0, | |
| "length_penalty": 1.0, | |
| "no_repeat_ngram_size": 0, | |
| "encoder_no_repeat_ngram_size": 0, | |
| "bad_words_ids": null, | |
| "num_return_sequences": 1, | |
| "output_scores": false, | |
| "return_dict_in_generate": false, | |
| "forced_bos_token_id": null, | |
| "forced_eos_token_id": null, | |
| "remove_invalid_values": false, | |
| "exponential_decay_length_penalty": null, | |
| "suppress_tokens": null, | |
| "begin_suppress_tokens": null, | |
| "num_beam_groups": 1, | |
| "diversity_penalty": 0.0, | |
| "_name_or_path": "decompute/yscompress-v1", | |
| "transformers_version": "4.57.6", | |
| "cls_token_id": 50281, | |
| "gradient_checkpointing": false, | |
| "layer_norm_eps": 1e-05, | |
| "model_type": "modernbert", | |
| "position_embedding_type": "absolute", | |
| "tf_legacy_loss": false, | |
| "use_bfloat16": false, | |
| "vocab_size": 50368, | |
| "max_position_embeddings": 8192, | |
| "hidden_size": 768, | |
| "intermediate_size": 1152, | |
| "num_hidden_layers": 22, | |
| "num_attention_heads": 12, | |
| "initializer_range": 0.02, | |
| "initializer_cutoff_factor": 2.0, | |
| "norm_eps": 1e-05, | |
| "norm_bias": false, | |
| "global_rope_theta": 160000.0, | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "hidden_activation": "gelu", | |
| "global_attn_every_n_layers": 3, | |
| "local_attention": 128, | |
| "local_rope_theta": 10000.0, | |
| "embedding_dropout": 0.0, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "decoder_bias": true, | |
| "classifier_pooling": "mean", | |
| "classifier_dropout": 0.0, | |
| "classifier_bias": false, | |
| "classifier_activation": "gelu", | |
| "deterministic_flash_attn": false, | |
| "sparse_prediction": false, | |
| "sparse_pred_ignore_index": -100, | |
| "repad_logits_with_grad": false, | |
| "output_attentions": false, | |
| "num_labels": 2, | |
| "yscompress_model_id": "yscompress-v1", | |
| "yscompress_display_name": "YSCompress v1", | |
| "deployment_repo": "decompute/yscompress-v1", | |
| "modification_notice": "Modified/repackaged for YSCompress deployment; see THIRD_PARTY_NOTICES.md." | |
| } | |