Text Classification
Transformers
Safetensors
English
electra
biomedical
topic-classification
openalex
scientific-papers
Instructions to use jimnoneill/paper-to-field with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jimnoneill/paper-to-field with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jimnoneill/paper-to-field")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jimnoneill/paper-to-field") model = AutoModelForSequenceClassification.from_pretrained("jimnoneill/paper-to-field", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef428d1b0e0077db89d2693b2da97bfacb3113a75e5dce787d94782c59814b9f
- Size of remote file:
- 5.97 kB
- SHA256:
- 44636c60bc31d1c36d18421c6f0ae74e14543188426104ce7ff0d448458ee4bb
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