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")# pip install -U transformers accelerate # 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- README.md +6 -6
- config.json +32 -32
- model.safetensors +3 -0
README.md
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- accuracy
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datasets:
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- anggars/mbti-emotion
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model-index:
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- name: xlm-mbti
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: anggars/mbti-emotion
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type: anggars/mbti-emotion
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metrics:
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type: accuracy
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value: 0.463
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---
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# xlm-mbti
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- accuracy
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datasets:
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- anggars/mbti-emotion
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language:
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- id
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- en
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model-index:
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- name: xlm-mbti
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results:
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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name: anggars/mbti-emotion
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type: anggars/mbti-emotion
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metrics:
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- type: accuracy
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value: 0.463
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name: Accuracy
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---
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# xlm-mbti
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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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"ENTJ":
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"ENTP":
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"ESFJ":
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"ESFP":
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"ESTJ":
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"ESTP":
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"INFJ":
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"INFP":
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"ISFJ":
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"ISFP":
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"ISTJ":
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"ISTP":
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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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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "INTP",
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"1": "ENTP",
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"2": "ISFJ",
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"3": "ESTJ",
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"4": "INTJ",
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"5": "INFJ",
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"6": "ISFP",
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"7": "ISTJ",
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"8": "INFP",
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"9": "ESFJ",
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"10": "ESFP",
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"11": "ESTP",
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"12": "ENFP",
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"13": "ISTP",
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"14": "ENFJ",
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"15": "ENTJ"
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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": 14,
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"ENFP": 12,
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"ENTJ": 15,
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"ENTP": 1,
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"ESFJ": 9,
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"ESFP": 10,
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"ESTJ": 3,
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"ESTP": 11,
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"INFJ": 5,
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"INFP": 8,
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"INTJ": 4,
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"INTP": 0,
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"ISFJ": 2,
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"ISFP": 6,
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"ISTJ": 7,
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"ISTP": 13
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b67f25f6ec03afe53f20111de3e6c777d5a0beadd0621c946fe732997511e140
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size 1112248048
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