Instructions to use Roasters/Answer-Predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roasters/Answer-Predictor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roasters/Answer-Predictor") model = AutoModelForSeq2SeqLM.from_pretrained("Roasters/Answer-Predictor", 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 sha256:05c53e005b8eee8bf3f9126813963cb75f208eebaadd7c3164daac706513179a
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size 242043184
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