Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use aiface/modernBert-base_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiface/modernBert-base_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aiface/modernBert-base_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aiface/modernBert-base_v2") model = AutoModelForSequenceClassification.from_pretrained("aiface/modernBert-base_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa38ce2978f73f1c4e292de82d311e95409f666e2bc404e3cc09de76c1fd2b8d
- Size of remote file:
- 5.91 kB
- SHA256:
- a1fb6464af1451ac9e3796eaa4b244aafd82d664f726c2648e6a718abe076c34
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