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 optimizer.pt from Hieu/nft_label: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/Hieu/nft_label/resolve/main/optimizer.pt
- Command line
-
hf download hf://Hieu/nft_label/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Hieu/nft_label/resolve/main/optimizer.pt
997 MB
- Xet hash:
- a833f9ea22c48852939bb7053c5925dc0fc38f1110da89e0740f5e2f23f7afba
- Size of remote file:
- 997 MB
- SHA256:
- 0be7f323cd3d0786302a042a72e4cda6285e2cd23e34b8028355506e2bbf33bf
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