Text Classification
Transformers
Safetensors
English
roberta
scientific-text
abstract-sections
text-embeddings-inference
Instructions to use hongccccccc/roberta-abstract-section-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hongccccccc/roberta-abstract-section-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hongccccccc/roberta-abstract-section-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hongccccccc/roberta-abstract-section-classifier") model = AutoModelForSequenceClassification.from_pretrained("hongccccccc/roberta-abstract-section-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ccc06729f739cca056840195fc0b460809fdf611e514c8a26e4a003f2fa770f
- Size of remote file:
- 2.8 kB
- SHA256:
- 5e223b6115aa22b61c8a1d9ab03437de7b16d25c427b38c35ad75b32d7a9f54b
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