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
- Xet hash:
- 8a46a0e862ffa1f14da5b7d3046fb9ac994d8001ca7ad0cf64e54899dc94236b
- Size of remote file:
- 506 MB
- SHA256:
- ce13694a36b9cc2eb549356f4b91575e909c4d6ff7bf493e11426659dd36e35d
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