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
File size: 129 Bytes
0b33131 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:44636c60bc31d1c36d18421c6f0ae74e14543188426104ce7ff0d448458ee4bb
size 5969
|