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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:685b84e7e27cfdfddbd51c29d00348ac64cd4940bfda28845ad802a5d1594979
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size 1905978064
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