Instructions to use dvs/poetry-author-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvs/poetry-author-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dvs/poetry-author-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dvs/poetry-author-classifier") model = AutoModelForSequenceClassification.from_pretrained("dvs/poetry-author-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dvs/poetry-author-classifier: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/dvs/poetry-author-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://dvs/poetry-author-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dvs/poetry-author-classifier/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 2c2fd1c5807ba69c10b4fd7b340aa5f67791fde324dff5fa25083caa371fea4a
- Size of remote file:
- 4.73 kB
- SHA256:
- 0994bdb206f93764a1e259ac1324dabd154d86de04d335a7383f161e4660bcbc
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