Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
mbti
midwest-emo
math-rock
personality-detection
domain-adaptation
hybrid-corpus
Eval Results (legacy)
text-embeddings-inference
Instructions to use anggars/xlm-mbti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anggars/xlm-mbti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anggars/xlm-mbti")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anggars/xlm-mbti") model = AutoModelForSequenceClassification.from_pretrained("anggars/xlm-mbti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload XLMRobertaForSequenceClassification
Browse files- config.json +33 -33
- model.safetensors +2 -2
config.json
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"label2id": {
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"ENFJ":
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"ENFP":
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"ESFJ":
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"ESFP":
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"ESTJ":
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"INFJ":
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"ISTJ":
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"tie_word_embeddings": true,
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"transformers_version": "5.
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"type_vocab_size": 1,
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"use_cache": false,
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"vocab_size": 250002
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "ENFJ",
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"1": "ENFP",
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"2": "ENTJ",
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"3": "ENTP",
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"4": "ESFJ",
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"5": "ESFP",
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"6": "ESTJ",
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"7": "ESTP",
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"8": "INFJ",
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"9": "INFP",
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"10": "INTJ",
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"11": "INTP",
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"12": "ISFJ",
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"13": "ISFP",
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"14": "ISTJ",
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"15": "ISTP"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"label2id": {
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"ENFJ": 0,
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"ENFP": 1,
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"ENTJ": 2,
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"ENTP": 3,
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"ESFJ": 4,
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"ESFP": 5,
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"ESTJ": 6,
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"ESTP": 7,
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"INFJ": 8,
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"INFP": 9,
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"INTJ": 10,
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"INTP": 11,
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"ISFJ": 12,
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"ISFP": 13,
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"ISTJ": 14,
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"ISTP": 15
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"tie_word_embeddings": true,
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"transformers_version": "5.13.1",
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"type_vocab_size": 1,
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"use_cache": false,
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"vocab_size": 250002
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model.safetensors
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size 1112248072
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