Instructions to use fktime/dbert_ai4p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fktime/dbert_ai4p with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fktime/dbert_ai4p")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fktime/dbert_ai4p") model = AutoModelForTokenClassification.from_pretrained("fktime/dbert_ai4p", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fktime/dbert_ai4p: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/fktime/dbert_ai4p/resolve/main/tokenizer.json
- Command line
-
hf download hf://fktime/dbert_ai4p/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/fktime/dbert_ai4p/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.