Instructions to use FINDA-FIT/T5-Base-FinArg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINDA-FIT/T5-Base-FinArg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FINDA-FIT/T5-Base-FinArg") model = AutoModelForSeq2SeqLM.from_pretrained("FINDA-FIT/T5-Base-FinArg") - 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:ecbde0a2d365990c042be8c139d48e3d9ca58363b29e115e7f2194e3f415aedd
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size 891644832
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