Instructions to use zpn/human_bp_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zpn/human_bp_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zpn/human_bp_bert", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zpn/human_bp_bert", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("zpn/human_bp_bert", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
b49751a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3b463d1df77bc9a3a3395099f491550d098f41f7850aaf6712f2d2df640c4f9a
size 1906060473
|