Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/riskmanagementv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/riskmanagementv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/riskmanagementv1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/riskmanagementv1") model = AutoModelForSequenceClassification.from_pretrained("lomov/riskmanagementv1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b0a5bb7d0e879da23be6ecb7a94b9617b8e8457cbd73421b9fb15b441a9488e
- Size of remote file:
- 5.05 kB
- SHA256:
- 6960ae225b7d57f8e8f569931cfc1b49797889b7021ecba0af9416452f78cd9e
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