Instructions to use civility-lab/roberta-base-namecalling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use civility-lab/roberta-base-namecalling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="civility-lab/roberta-base-namecalling")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("civility-lab/roberta-base-namecalling") model = AutoModelForSequenceClassification.from_pretrained("civility-lab/roberta-base-namecalling") - 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:b3c5887753413ec5ea2627050667d2e5a7f3512881fb0798dcdda190f898207b
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size 498617024
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