Instructions to use natope/random_top100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use natope/random_top100 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("natope/random_top100") model = AutoModelForSeq2SeqLM.from_pretrained("natope/random_top100", 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 sha256:7dcd4a85332fed15df360b5a03b4898686cc963798dc86427b777c32133dadce
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size 1200729560
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