Instructions to use garNER/xlm-roberta-large-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garNER/xlm-roberta-large-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="garNER/xlm-roberta-large-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("garNER/xlm-roberta-large-fr") model = AutoModelForTokenClassification.from_pretrained("garNER/xlm-roberta-large-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 081b8a330569fea1ca854195bb3245bd26d7dc52bc6d69bf2b6714b622e41ec6
- Size of remote file:
- 2.24 GB
- SHA256:
- 1d2b2e478b4a5e7c901aeb53faa3de796b6c8171ebd6069eadd9a90841175a5b
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