Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use MattDy88/results_modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MattDy88/results_modernbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MattDy88/results_modernbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MattDy88/results_modernbert") model = AutoModelForSequenceClassification.from_pretrained("MattDy88/results_modernbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e3fcd9131738157a44f105d599c9e47ad560977d508c595a0501c1834a819a3
- Size of remote file:
- 5.78 kB
- SHA256:
- 959ba06f1183a5a5b5e61d45d0e66d1f8e6eb2ca7a2d1b2f1d3c87a864ce2125
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