Instructions to use jmt-r/predict-ai-abstract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmt-r/predict-ai-abstract with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, MyBERTClassifier tokenizer = AutoTokenizer.from_pretrained("jmt-r/predict-ai-abstract") model = MyBERTClassifier.from_pretrained("jmt-r/predict-ai-abstract", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jmt-r/predict-ai-abstract: direct link, hf CLI and curl.
- Browser
- Download file 959 kB
-
https://huggingface.co/jmt-r/predict-ai-abstract/resolve/main/tokenizer.json
- Command line
-
hf download hf://jmt-r/predict-ai-abstract/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/jmt-r/predict-ai-abstract/resolve/main/tokenizer.json
959 kB
File too large to display, you can check the raw version instead.