Instructions to use genie10/feedback_patients with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use genie10/feedback_patients with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="genie10/feedback_patients")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("genie10/feedback_patients") model = AutoModelForSequenceClassification.from_pretrained("genie10/feedback_patients") - 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 sha256:0c0d65e6a3ff8ee8e54af9be5962ef96e5d2f831b8f851f122aedbfd17433d86
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size 1112212292
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