Instructions to use ShashiVish/t5-fine-tune-save-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShashiVish/t5-fine-tune-save-example with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShashiVish/t5-fine-tune-save-example") model = AutoModelForSeq2SeqLM.from_pretrained("ShashiVish/t5-fine-tune-save-example", device_map="auto") - 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:ee3af4d02506cc1590a2b3b0a0c9bd7948ccf17a9e183cbbe5f4c8e66c9c8d05
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size 242042016
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