Instructions to use PELAB-LiU/csn-small-biased-random-encoder-decoder-20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PELAB-LiU/csn-small-biased-random-encoder-decoder-20 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PELAB-LiU/csn-small-biased-random-encoder-decoder-20") model = AutoModelForSeq2SeqLM.from_pretrained("PELAB-LiU/csn-small-biased-random-encoder-decoder-20") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a112061259b26ad16165270442121a5a8a0f577fad93230a232b233d5a9ca5b2
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size 891558816
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