Transformers
PyTorch
Safetensors
English
t5
text2text-generation
definition-modeling
text-generation-inference
Instructions to use ltg/flan-t5-definition-en-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/flan-t5-definition-en-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ltg/flan-t5-definition-en-base") model = AutoModelForSeq2SeqLM.from_pretrained("ltg/flan-t5-definition-en-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 752be875bd5fc66858208dc881ce77cd9955d6a47a1ce06b7e13f7253e5a593d
- Size of remote file:
- 990 MB
- SHA256:
- 98e65bae9aea15a2fbbc9fefd7576118c862d0627401681c2fece07045cf2754
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