Instructions to use InfAI/flan-t5-text2sparql-custom-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfAI/flan-t5-text2sparql-custom-tokenizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("InfAI/flan-t5-text2sparql-custom-tokenizer") model = AutoModelForSeq2SeqLM.from_pretrained("InfAI/flan-t5-text2sparql-custom-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec065560150de8c54f39883fc5de92082a4022adf47c49cf719ccded56a2d59
- Size of remote file:
- 3.31 kB
- SHA256:
- bf0d12c75f17d20cc044b54cd5d20684c489f79693e25b83f0ea2b0fb900daf4
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