Instructions to use danielsaggau/bregman_base_ecthr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use danielsaggau/bregman_base_ecthr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("danielsaggau/bregman_base_ecthr") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use danielsaggau/bregman_base_ecthr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("danielsaggau/bregman_base_ecthr") model = AutoModel.from_pretrained("danielsaggau/bregman_base_ecthr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "/content/models/legal-longformer", | |
| "architectures": [ | |
| "LongformerModel" | |
| ], | |
| "attention_mode": "longformer", | |
| "attention_probs_dropout_prob": 0.1, | |
| "attention_window": [ | |
| 128, | |
| 128, | |
| 128, | |
| 128, | |
| 128, | |
| 128 | |
| ], | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "cls_token_id": 101, | |
| "eos_token_id": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 512, | |
| "ignore_attention_mask": false, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2048, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 4098, | |
| "model_max_length": 4096, | |
| "model_type": "longformer", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 6, | |
| "onnx_export": false, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "sep_token_id": 102, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.25.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |