Instructions to use raza3/flan-t5-base-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raza3/flan-t5-base-sentiment-analysis with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("raza3/flan-t5-base-sentiment-analysis") model = AutoModelForSeq2SeqLM.from_pretrained("raza3/flan-t5-base-sentiment-analysis", 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:b4d6e1c69e7535d41e95175826c1f8cebb8139d632348be1fd1c0263c9245daf
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size 990345160
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