Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use kitsunea/modernbert-assignment1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kitsunea/modernbert-assignment1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kitsunea/modernbert-assignment1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kitsunea/modernbert-assignment1") model = AutoModelForSequenceClassification.from_pretrained("kitsunea/modernbert-assignment1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e24522231848533d83f1dcbca071b50fff5572e88075073091a6071766e1016d
- Size of remote file:
- 5.78 kB
- SHA256:
- 668ac5244e65dd6136ba8a1e41e984916bced2f9667a1e477c4a92a50fffbb15
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