Instructions to use townboy/kpfbert-kdpii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use townboy/kpfbert-kdpii with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="townboy/kpfbert-kdpii")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("townboy/kpfbert-kdpii") model = AutoModelForTokenClassification.from_pretrained("townboy/kpfbert-kdpii") - Notebooks
- Google Colab
- Kaggle
File size: 194 Bytes
c91ef0b | 1 2 3 4 5 6 7 8 9 | {
"device": "cuda",
"cuda_available": true,
"cuda_version": "12.6",
"gpu_name": "NVIDIA GeForce RTX 4060 Ti",
"gpu_count": 1,
"bf16_supported": true,
"tf32_enabled": true
} |