Text Classification
Transformers
Safetensors
multilingual
deberta-v2
custom_code
text-embeddings-inference
Instructions to use utter-project/EuroFilter-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utter-project/EuroFilter-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="utter-project/EuroFilter-v1", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("utter-project/EuroFilter-v1", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("utter-project/EuroFilter-v1", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +4 -1
config.json
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{
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"_name_or_path": "
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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{
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"_name_or_path": "Unbabel/mfineweb-edu-classifier",
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"auto_map": {
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"AutoModelForSequenceClassification": "modeling_custom.DebertaV2ForSequenceClassification"
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},
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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