Instructions to use VSPuzzler/AntagonistClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VSPuzzler/AntagonistClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VSPuzzler/AntagonistClassificationModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/AntagonistClassificationModel") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/AntagonistClassificationModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from VSPuzzler/AntagonistClassificationModel: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/VSPuzzler/AntagonistClassificationModel/resolve/main/model.safetensors
- Command line
-
hf download hf://VSPuzzler/AntagonistClassificationModel/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/VSPuzzler/AntagonistClassificationModel/resolve/main/model.safetensors
433 MB
- Xet hash:
- 8680477ceacb4ed134dc401f3e5216030ad90c99b54b413b395ee0f17795a0bd
- Size of remote file:
- 433 MB
- SHA256:
- f80e27e1cde9cf9d28f0dc9df3edf7f4cb24f7ed384553ac25a9cc61b6da0a1e
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