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
File size: 309 Bytes
37212c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"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"
}
|