Instructions to use hf-internal-testing/tiny-random-XLMRobertaXLModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XLMRobertaXLModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-XLMRobertaXLModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XLMRobertaXLModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-XLMRobertaXLModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de9a571c2cc3838ffcc7ad5a3201331a4673e531225ea15c2a7812c8b6226d41
- Size of remote file:
- 32.2 MB
- SHA256:
- 301868a9796a7237b8bb9197fcabf65b15a6007739fca65e90d47d70a73ff360
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