Instructions to use hltcoe/plaidx-large-fas-tdist-mt5xxl-fasfas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hltcoe/plaidx-large-fas-tdist-mt5xxl-fasfas with Transformers:
# Load model directly from transformers import AutoTokenizer, HF_ColBERT tokenizer = AutoTokenizer.from_pretrained("hltcoe/plaidx-large-fas-tdist-mt5xxl-fasfas") model = HF_ColBERT.from_pretrained("hltcoe/plaidx-large-fas-tdist-mt5xxl-fasfas") - 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 sha256:2f252f4a5c0b6059ff90c8435d80291b7549efc44ab87dbaac59581fa833b469
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size 2240147072
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