Instructions to use yimiwang/roberta-petco-fullemailbody-ctr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yimiwang/roberta-petco-fullemailbody-ctr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yimiwang/roberta-petco-fullemailbody-ctr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yimiwang/roberta-petco-fullemailbody-ctr") model = AutoModelForSequenceClassification.from_pretrained("yimiwang/roberta-petco-fullemailbody-ctr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yimiwang/roberta-petco-fullemailbody-ctr: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/yimiwang/roberta-petco-fullemailbody-ctr/resolve/395a030d58a73312498a6b076d426c5c35d89f6c/training_args.bin
- Command line
-
hf download hf://yimiwang/roberta-petco-fullemailbody-ctr@395a030d58a73312498a6b076d426c5c35d89f6c/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/yimiwang/roberta-petco-fullemailbody-ctr/resolve/395a030d58a73312498a6b076d426c5c35d89f6c/training_args.bin
4.92 kB
- Xet hash:
- a7d2ef488a690eb882539a832ce88acf196655763ee1f5a56dc0f4b69f0fdbb9
- Size of remote file:
- 4.92 kB
- SHA256:
- fcc3e2b5541663547af4e3c848444336d88de385d296c206ff4ca38f98009dc2
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