Instructions to use gianma/classifierEUtopLevelRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelRoberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelRoberta") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelRoberta") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (1e367b440a4f5fc2b37102f5b15ffff902bfd0fa)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:684bac10f336c219cc67d8a3507e684fddf1b5aafda920860a3f994d5fe2e9a8
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size 1348916536
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