Instructions to use xiaoxibing/paper_classify_fine_tuning_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaoxibing/paper_classify_fine_tuning_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xiaoxibing/paper_classify_fine_tuning_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xiaoxibing/paper_classify_fine_tuning_bert") model = AutoModelForSequenceClassification.from_pretrained("xiaoxibing/paper_classify_fine_tuning_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64a467ed154c9383818c556829c276c345ac5ca1cd522739b401f00e353336b7
- Size of remote file:
- 438 MB
- SHA256:
- a4e5f7e9bad60fe639dedd44471ae1cf5d97f22ebad783fe753dbc72ed593132
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