Instructions to use argmining-vaccines/spanberta-base-cased-scientific_authority with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use argmining-vaccines/spanberta-base-cased-scientific_authority with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="argmining-vaccines/spanberta-base-cased-scientific_authority")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/spanberta-base-cased-scientific_authority") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/spanberta-base-cased-scientific_authority") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
f9aff68 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3fc563d28ad5d4b3421e884dbfa2e2693fe8a55de21fc3c75714de5a2c8f20db
size 496299053
|