Instructions to use tuhailong/cross_encoder_roberta-wwm-ext_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuhailong/cross_encoder_roberta-wwm-ext_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tuhailong/cross_encoder_roberta-wwm-ext_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tuhailong/cross_encoder_roberta-wwm-ext_v2") model = AutoModelForSequenceClassification.from_pretrained("tuhailong/cross_encoder_roberta-wwm-ext_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7a4172bb5f76726ebc8ddd98eac85f398d7d40f0353a9fac03dbf51011e85f0
- Size of remote file:
- 409 MB
- SHA256:
- 238f6f263744814a9e689908744f4c596f514267e577b813dfcf09400423a22b
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