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
- Xet hash:
- 17af3de945f105c6c65beff134c5d36b67f7864dcebf0323ee2620d5be192c97
- Size of remote file:
- 1.06 kB
- SHA256:
- 6e6cce6b995779c2ccf35df683ba225aa194d8f8f2d8f50adc37ff2250079a94
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