Instructions to use ybelkada/tiny-random-T5ForConditionalGeneration-calibrated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/tiny-random-T5ForConditionalGeneration-calibrated with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ybelkada/tiny-random-T5ForConditionalGeneration-calibrated") model = AutoModelForSeq2SeqLM.from_pretrained("ybelkada/tiny-random-T5ForConditionalGeneration-calibrated") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44986ea256784b188264f298d3407a992593b61ebe7387aca0c9ced8205a998d
- Size of remote file:
- 4.47 MB
- SHA256:
- 3b0de78f82cac0087230283a804314b2403207753934a20d3eb6ea66d55921de
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