Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use pradervonsky/modernbert-large_clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pradervonsky/modernbert-large_clinc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pradervonsky/modernbert-large_clinc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pradervonsky/modernbert-large_clinc") model = AutoModelForSequenceClassification.from_pretrained("pradervonsky/modernbert-large_clinc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 929698db1cb89b59ad243034bb8714f1e70029d149e13f8aa64509985b33c6e9
- Size of remote file:
- 5.84 kB
- SHA256:
- 7bd3e10ff2216d56e86b2f4b11c801daccdd9cd231829d63530e8478ed7fd5eb
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