Text Classification
sentence-transformers
Safetensors
xlm-roberta
sentence-similarity
feature-extraction
text-embeddings-inference
Instructions to use mawaskow/inc_sent_cls_mc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mawaskow/inc_sent_cls_mc with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mawaskow/inc_sent_cls_mc") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "c:\\Users\\allie\\Documents\\GitHub\\policy-classifier/outputs/final_mc_model", | |
| "architectures": [ | |
| "XLMRobertaModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "Fine", | |
| "1": "Supplies", | |
| "2": "Technical_assistance", | |
| "3": "Tax_deduction", | |
| "4": "Credit", | |
| "5": "Direct_payment" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "Credit": 4, | |
| "Direct_payment": 5, | |
| "Fine": 0, | |
| "Supplies": 1, | |
| "Tax_deduction": 3, | |
| "Technical_assistance": 2 | |
| }, | |
| "last_bit": { | |
| "batch_size": 16, | |
| "epochs": 5, | |
| "lr": 2e-05, | |
| "oversampling": true, | |
| "r": 9 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "xlm-roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.50.0.dev0", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 250002 | |
| } | |