Instructions to use duynhatran/deberta-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duynhatran/deberta-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duynhatran/deberta-finetuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("duynhatran/deberta-finetuned") model = AutoModelForSequenceClassification.from_pretrained("duynhatran/deberta-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from duynhatran/deberta-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/duynhatran/deberta-finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://duynhatran/deberta-finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/duynhatran/deberta-finetuned/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- d759fc6fa686008cadc405da064b82b0a7372b59c7d9efa4a76ac54079a63c97
- Size of remote file:
- 5.18 kB
- SHA256:
- 0ab14d0835fa95c069b1ef13907b732be3eee53243fc04d36bc5fcececeb2082
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