Instructions to use garNER/xlm-roberta-large-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garNER/xlm-roberta-large-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="garNER/xlm-roberta-large-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("garNER/xlm-roberta-large-en") model = AutoModelForTokenClassification.from_pretrained("garNER/xlm-roberta-large-en") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ad3d612 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:77d980d69c67540f6a60bc49e534c5f09f4e998707075b57526ea4e0ac1207da
size 3451
|