Instructions to use leondz/refutation_detector_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leondz/refutation_detector_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leondz/refutation_detector_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leondz/refutation_detector_distilbert") model = AutoModelForSequenceClassification.from_pretrained("leondz/refutation_detector_distilbert", device_map="auto") - 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:de64e6a9396b841917c47e7c18f2f0bc0fad44290b9fe65798f3f00267002d88
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size 267832560
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