Instructions to use declare-lab/flan-alpaca-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/flan-alpaca-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("declare-lab/flan-alpaca-base") model = AutoModelForSeq2SeqLM.from_pretrained("declare-lab/flan-alpaca-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:7aae060f8958ea61545d49c550788b67b7973610dc63b14aa802fb52b5ba0e29
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size 990345064
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