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:
- 8fcb4dc3c7ef8c90d43429a719d6c73dd688d7f2f828169e85b275d9210d9299
- Size of remote file:
- 876 MB
- SHA256:
- 6dc168cb1182110fe959dd40ece6caf41d89676a702ac955ae85a2c15b79e235
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