Instructions to use ryo0634/xlm-roberta-base-with-extra-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ryo0634/xlm-roberta-base-with-extra-training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ryo0634/xlm-roberta-base-with-extra-training")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ryo0634/xlm-roberta-base-with-extra-training") model = AutoModel.from_pretrained("ryo0634/xlm-roberta-base-with-extra-training", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75348d47b56d19fbf92368b28f819d53aa0bc78b30cc5285154d51e8884a9999
- Size of remote file:
- 1.11 GB
- SHA256:
- 41882192a3a7992cde42a5d1211dab41157eeab00f0e697626961e7eddf31f5c
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