Instructions to use bowphs/depenBERTa_perseus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowphs/depenBERTa_perseus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bowphs/depenBERTa_perseus", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bowphs/depenBERTa_perseus", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("bowphs/depenBERTa_perseus", 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:bfafdc38562fc16f401126fe0c32ccdd28412476a999b74c310ce0ac5850e5b5
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size 506306280
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