Instructions to use Patil/flan-t5-relevant_df with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patil/flan-t5-relevant_df with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patil/flan-t5-relevant_df") model = AutoModelForSeq2SeqLM.from_pretrained("Patil/flan-t5-relevant_df") - 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 sha256:00e49d8017707e8104d1f4da4787c416bda471c4dd5b606252dac17708336941
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size 990345160
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