Instructions to use VSPuzzler/ProtagonistClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VSPuzzler/ProtagonistClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VSPuzzler/ProtagonistClassificationModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/ProtagonistClassificationModel") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/ProtagonistClassificationModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from VSPuzzler/ProtagonistClassificationModel: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/VSPuzzler/ProtagonistClassificationModel/resolve/main/model.safetensors
- Command line
-
hf download hf://VSPuzzler/ProtagonistClassificationModel/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/VSPuzzler/ProtagonistClassificationModel/resolve/main/model.safetensors
433 MB
- Xet hash:
- f214c2a0dffeb38a3422c1418fdf3545c733b759ec96908c18d92c4cd4a77449
- Size of remote file:
- 433 MB
- SHA256:
- b82695004293a0a612ce9c1b893b5005bfce7ddb3073eeeb9023876e3a1af74b
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