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:
- 720cb6c9cdd9a34748a055dc75e8010eefe1ec819702477854ce52becd1297dd
- Size of remote file:
- 14.2 kB
- SHA256:
- 0838536b2a0d9f02d9d2df5343df774521dde339fbfe6e7bc21383c1e9f5bddb
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