Instructions to use allenai/multicite-multilabel-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/multicite-multilabel-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="allenai/multicite-multilabel-scibert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("allenai/multicite-multilabel-scibert") model = AutoModelForSequenceClassification.from_pretrained("allenai/multicite-multilabel-scibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
32685f8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:85d25f857557348c8feb6d445e9000180542c6365133907913a327832a249371
size 1336
|