Instructions to use lukeleeai/t5-base_boolq_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukeleeai/t5-base_boolq_ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lukeleeai/t5-base_boolq_")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lukeleeai/t5-base_boolq_") model = AutoModelForSequenceClassification.from_pretrained("lukeleeai/t5-base_boolq_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lukeleeai/t5-base_boolq_: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/lukeleeai/t5-base_boolq_/resolve/main/tokenizer.json
- Command line
-
hf download hf://lukeleeai/t5-base_boolq_/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/lukeleeai/t5-base_boolq_/resolve/main/tokenizer.json
2.42 MB
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