Instructions to use lapp0/kbert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lapp0/kbert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lapp0/kbert_base")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("lapp0/kbert_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "KBERTForMaskedLM" | |
| ], | |
| "head_dropout": 0.0, | |
| "intermediate_dim": 2048, | |
| "logit_softcap": 15, | |
| "model_dim": 768, | |
| "num_attention_heads": 6, | |
| "num_layers": 20, | |
| "tokenizer_uri": "answerdotai/ModernBERT-base", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.48.0" | |
| } | |