Instructions to use explosion-testing/xlm-roberta-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use explosion-testing/xlm-roberta-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="explosion-testing/xlm-roberta-test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("explosion-testing/xlm-roberta-test") model = AutoModelForMaskedLM.from_pretrained("explosion-testing/xlm-roberta-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 319cdb4660ac6d0d0236b9b2dac7b9b6b113198dce5189e9b20b3a01bcd33fda
- Size of remote file:
- 377 kB
- SHA256:
- be07818b2b546ee821b38cf9c199d1a742eb2c208fbd9835fb95a05243e4aaa9
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