Instructions to use bumblebee-testing/tiny-random-XLMRobertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-XLMRobertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bumblebee-testing/tiny-random-XLMRobertaModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-XLMRobertaModel") model = AutoModel.from_pretrained("bumblebee-testing/tiny-random-XLMRobertaModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfb4aa53ef177d1c99e44449f32e5b9decc01e6c7c13b5ee40c2d41a235143ea
- Size of remote file:
- 348 kB
- SHA256:
- 9bbb3ffc278146cce26d2fd6838030e034949f78b07c43f268963b3782f2c323
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