Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use Defensa2025/C3ROBERTA8020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Defensa2025/C3ROBERTA8020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Defensa2025/C3ROBERTA8020")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Defensa2025/C3ROBERTA8020") model = AutoModelForSequenceClassification.from_pretrained("Defensa2025/C3ROBERTA8020", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,013 Bytes
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"_name_or_path": "xlm-roberta-base",
"_num_labels": 19,
"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": 768,
"id2label": {
"0": "baloncesto, acb",
"1": "baloncesto, champions-league",
"2": "baloncesto, copa-rey",
"3": "baloncesto, eurocup",
"4": "baloncesto, euroliga",
"5": "baloncesto, nba",
"6": "futbol, champions-league",
"7": "futbol, copa-rey",
"8": "futbol, mas-futbol",
"9": "futbol, primera-division",
"10": "futbol, segunda-division",
"11": "motor, dakar",
"12": "motor, formula1",
"13": "motor, motogp",
"14": "motor, rallies",
"15": "nan",
"16": "polideportivo, ajedrez",
"17": "polideportivo, boxeo",
"18": "polideportivo, deportes-aventura"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"baloncesto, acb": 0,
"baloncesto, champions-league": 1,
"baloncesto, copa-rey": 2,
"baloncesto, eurocup": 3,
"baloncesto, euroliga": 4,
"baloncesto, nba": 5,
"futbol, champions-league": 6,
"futbol, copa-rey": 7,
"futbol, mas-futbol": 8,
"futbol, primera-division": 9,
"futbol, segunda-division": 10,
"motor, dakar": 11,
"motor, formula1": 12,
"motor, motogp": 13,
"motor, rallies": 14,
"nan": 15,
"polideportivo, ajedrez": 16,
"polideportivo, boxeo": 17,
"polideportivo, deportes-aventura": 18
},
"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": "4.48.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}
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