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
- Xet hash:
- e67cbc0ae0d30beaae6f9c2b28ee91f020a7e166a88b9f656812ddee39b4a335
- Size of remote file:
- 3.45 kB
- SHA256:
- 77d980d69c67540f6a60bc49e534c5f09f4e998707075b57526ea4e0ac1207da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.