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 added_tokens.json from VSPuzzler/AntagonistClassificationModel: direct link, hf CLI and curl.
- Browser
- Download file 46 Bytes
-
https://huggingface.co/VSPuzzler/AntagonistClassificationModel/resolve/main/added_tokens.json
- Command line
-
hf download hf://VSPuzzler/AntagonistClassificationModel/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/VSPuzzler/AntagonistClassificationModel/resolve/main/added_tokens.json
46 Bytes
| { | |
| "[/TARGET]": 28997, | |
| "[TARGET]": 28996 | |
| } | |