Instructions to use simonloewe/stigma_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonloewe/stigma_models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonloewe/stigma_models")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonloewe/stigma_models") model = AutoModelForSequenceClassification.from_pretrained("simonloewe/stigma_models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc0994f86231d6fe520bf16522f238b45b538bbe45d24513836298d2ff5acd5f
- Size of remote file:
- 14.6 kB
- SHA256:
- 117a95bd0514634aa2e66194a1b64fb0f2c38ea2af7c2410bfd584c58dd20964
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