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 pytorch_model.bin from Hieu/nft_label: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/Hieu/nft_label/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Hieu/nft_label/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Hieu/nft_label/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- d90d76a6434778eb214d6b128a6ab1abbce4ee7484d96556eb490c3eebdf744a
- Size of remote file:
- 499 MB
- SHA256:
- fc5ab8edafe452b26c3f7c8edf7a3cfc5b992139cf2ab9126cc5569c15f7e6d0
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