Fill-Mask
Transformers
PyTorch
multilingual
English
Chinese
xlm-roberta
token-classification
medical
Instructions to use ngwlh/KBioXLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngwlh/KBioXLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ngwlh/KBioXLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ngwlh/KBioXLM") model = AutoModelForTokenClassification.from_pretrained("ngwlh/KBioXLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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