Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use cdhartono/modernbert_clincl_oos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdhartono/modernbert_clincl_oos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cdhartono/modernbert_clincl_oos")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cdhartono/modernbert_clincl_oos") model = AutoModelForSequenceClassification.from_pretrained("cdhartono/modernbert_clincl_oos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2170a32ebf53465b8392cf2f340bfff91c11a17e6a5c63f949eb5a711483e41
- Size of remote file:
- 5.84 kB
- SHA256:
- 84fedb3fef2d3f7712acccf0742f5fe27707aed533e3f97fc68c000625a09810
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