Text Classification
Transformers
TensorBoard
Safetensors
Azerbaijani
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use hajili/xlm-roberta-large-azsci-topics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hajili/xlm-roberta-large-azsci-topics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hajili/xlm-roberta-large-azsci-topics")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hajili/xlm-roberta-large-azsci-topics") model = AutoModelForSequenceClassification.from_pretrained("hajili/xlm-roberta-large-azsci-topics", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "FacebookAI/xlm-roberta-large", | |
| "architectures": [ | |
| "XLMRobertaForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "Aqrar elmlər", | |
| "1": "Astronomiya", | |
| "2": "Biologiya elmləri", | |
| "3": "Coğrafiya", | |
| "4": "Filologiya elmləri", | |
| "5": "Fizika", | |
| "6": "Fəlsəfə", | |
| "7": "Hüquq elmləri", | |
| "8": "Kimya", | |
| "9": "Memarlıq", | |
| "10": "Mexanika", | |
| "11": "Pedaqogika", | |
| "12": "Psixologiya", | |
| "13": "Riyaziyyat", | |
| "14": "Siyasi elmlər", | |
| "15": "Sosiologiya", | |
| "16": "Sənətşünaslıq", | |
| "17": "Tarix", | |
| "18": "Texnika elmləri", | |
| "19": "Tibb elmləri", | |
| "20": "Yer elmləri", | |
| "21": "İqtisad elmləri", | |
| "22": "Əczaçılıq elmləri" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "label2id": { | |
| "Aqrar elmlər": 0, | |
| "Astronomiya": 1, | |
| "Biologiya elmləri": 2, | |
| "Coğrafiya": 3, | |
| "Filologiya elmləri": 4, | |
| "Fizika": 5, | |
| "Fəlsəfə": 6, | |
| "Hüquq elmləri": 7, | |
| "Kimya": 8, | |
| "Memarlıq": 9, | |
| "Mexanika": 10, | |
| "Pedaqogika": 11, | |
| "Psixologiya": 12, | |
| "Riyaziyyat": 13, | |
| "Siyasi elmlər": 14, | |
| "Sosiologiya": 15, | |
| "Sənətşünaslıq": 16, | |
| "Tarix": 17, | |
| "Texnika elmləri": 18, | |
| "Tibb elmləri": 19, | |
| "Yer elmləri": 20, | |
| "İqtisad elmləri": 21, | |
| "Əczaçılıq elmləri": 22 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "xlm-roberta", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.38.2", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 250002 | |
| } | |