Instructions to use mlburnham/Political_DEBATE_ModernBERT_base_v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlburnham/Political_DEBATE_ModernBERT_base_v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mlburnham/Political_DEBATE_ModernBERT_base_v1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mlburnham/Political_DEBATE_ModernBERT_base_v1.0") model = AutoModelForSequenceClassification.from_pretrained("mlburnham/Political_DEBATE_ModernBERT_base_v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload ModernBertForSequenceClassification
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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{
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"_name_or_path": "./training_ModernBase/checkpoint-96354",
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"architectures": [
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"attention_bias": false,
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"attention_dropout": 0.0,
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{
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"_name_or_path": "./training_ModernBase/checkpoint-96354",
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"architectures": [
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"ModernBertForSequenceClassification"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e32010fbde99ad45afc035728e987f6ee00169a19b1ee29514bcd0ceb2cd5b1
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size 598439784
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