Instructions to use uer/roberta-base-finetuned-jd-binary-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uer/roberta-base-finetuned-jd-binary-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uer/roberta-base-finetuned-jd-binary-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uer/roberta-base-finetuned-jd-binary-chinese") model = AutoModelForSequenceClassification.from_pretrained("uer/roberta-base-finetuned-jd-binary-chinese") - Inference
- Notebooks
- Google Colab
- Kaggle
Request: DOI
#4 opened over 1 year ago
by
yancun
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot