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
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (0876f9e6b2a27e6214543ffad8b630fcbb9094a5)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b0de78f82cac0087230283a804314b2403207753934a20d3eb6ea66d55921de
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size 4465264
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