Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
classification
nlp
vulnerability
text-embeddings-inference
Instructions to use CIRCL/vulnerability-severity-classification-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CIRCL/vulnerability-severity-classification-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CIRCL/vulnerability-severity-classification-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"pad_token_id": 1,
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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": true,
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"vocab_size": 50265
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"pad_token_id": 1,
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"problem_type": "single_label_classification",
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"tie_word_embeddings": true,
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"transformers_version": "5.4.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 498618952
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version https://git-lfs.github.com/spec/v1
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oid sha256:c233b041c73266659c09b364ffc56ecb7f6246087b723534f194334762e2e6e6
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size 498618952
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