Instructions to use violentometro/violentometro-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use violentometro/violentometro-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="violentometro/violentometro-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("violentometro/violentometro-model") model = AutoModel.from_pretrained("violentometro/violentometro-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from violentometro/violentometro-model: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/violentometro/violentometro-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://violentometro/violentometro-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/violentometro/violentometro-model/resolve/main/pytorch_model.bin
439 MB
- Xet hash:
- c9a80875da06a0c41699cc38674b369abc3941d0835894dc1927d2e3ef69eedc
- Size of remote file:
- 439 MB
- SHA256:
- bd1d29be6f29b778dae5880f27a70a01e1361688984f8967e14c8b91b6672887
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