Instructions to use KarenYYH/sentiment-hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use KarenYYH/sentiment-hr with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, BertForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KarenYYH/sentiment-hr", from_hf_hub=True) model = BertForSequenceClassification.from_pretrained("KarenYYH/sentiment-hr", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 440987e7e5897c112aa194ed301dc37015abac6ab1d609d9c36767486afdc47b
- Size of remote file:
- 409 MB
- SHA256:
- 644099932db4491f9629db2ef69f2164780a44be17806598250a8ae43af62b8e
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