Instructions to use alphaedge-ai/ModernBERT-large-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphaedge-ai/ModernBERT-large-32768 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alphaedge-ai/ModernBERT-large-32768")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/ModernBERT-large-32768") model = AutoModelForMaskedLM.from_pretrained("alphaedge-ai/ModernBERT-large-32768") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 065af6e3aa6bbda8d81b5c7fa5648a234ef28f45d5f357a45bef8d9270898e37
- Size of remote file:
- 1.51 GB
- SHA256:
- bd2059d58a4db75d8efbec720d7f06a0c1a09ce2efbb587baaef0bc28932b1d9
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