Instructions to use Peterard/user_feedback_pretrained_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Peterard/user_feedback_pretrained_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Peterard/user_feedback_pretrained_all")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Peterard/user_feedback_pretrained_all") model = AutoModel.from_pretrained("Peterard/user_feedback_pretrained_all") - 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 sha256:8e44e5e2c910f10bbebe20c648712846927df56f246a622504e1c00dc6364475
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size 133466304
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