Instructions to use lapp0/kbert_trial0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lapp0/kbert_trial0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lapp0/kbert_trial0")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("lapp0/kbert_trial0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "KBERTForMaskedLM" | |
| ], | |
| "intermediate_dim": 1536, | |
| "model_dim": 768, | |
| "num_attention_heads": 6, | |
| "num_layers": 12, | |
| "tokenizer_uri": "answerdotai/ModernBERT-base", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.47.1" | |
| } | |