Instructions to use Hieu/nft_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hieu/nft_label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hieu/nft_label")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hieu/nft_label") model = AutoModelForSequenceClassification.from_pretrained("Hieu/nft_label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hieu/nft_label: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Hieu/nft_label/resolve/main/training_args.bin
- Command line
-
hf download hf://Hieu/nft_label/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hieu/nft_label/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 1b41b5e24ad344034943b0811ba3ce2bf5c43930b263f10d3bcac0457a729e5b
- Size of remote file:
- 2.99 kB
- SHA256:
- 93250b3be94894d7f45da3a61eb1e4700d487394d13bc7ae03481abcd359723b
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