Instructions to use FINDA-FIT/mT5_Large_True_SentFin_None_None with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINDA-FIT/mT5_Large_True_SentFin_None_None with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FINDA-FIT/mT5_Large_True_SentFin_None_None") model = AutoModelForSeq2SeqLM.from_pretrained("FINDA-FIT/mT5_Large_True_SentFin_None_None") - 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 sha256:83ea77693bcb837e8246ace5c75a081d15c1c20841fd0741ebb269d1e60c5765
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size 4918303672
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