Instructions to use tanoManzo/roberta-attitude with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanoManzo/roberta-attitude with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tanoManzo/roberta-attitude")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tanoManzo/roberta-attitude") model = AutoModelForSequenceClassification.from_pretrained("tanoManzo/roberta-attitude") - 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:ebb7dde6c720277118385a93010f67a8fda3736b27b8e3b701978e82f14deffd
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size 498620100
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