Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/governancev1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/governancev1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/governancev1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/governancev1") model = AutoModelForSequenceClassification.from_pretrained("lomov/governancev1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 378283f61a99e98f047b917e3e17667ce4493e28793e7e229e72c0bbeabe87e0
- Size of remote file:
- 5.05 kB
- SHA256:
- 0c4e358671d1dfe95d5d7e35494e489cc090b90cb6a7443d6accaaf57c1d3522
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