Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use DipanAI/flan-T5_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DipanAI/flan-T5_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DipanAI/flan-T5_base") model = AutoModelForSeq2SeqLM.from_pretrained("DipanAI/flan-T5_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0ccaafb7889c6618896e16eb2bb3fc2e4a13b7df6b6b98b329dafe6d950dd6d
- Size of remote file:
- 3.58 kB
- SHA256:
- 1bee0025a2f716b6cdd3352081771e994f782a7726daf105f06440f6e7f10fa7
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