Instructions to use hf-tiny-model-private/tiny-random-XLMRobertaXLModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-XLMRobertaXLModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-XLMRobertaXLModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XLMRobertaXLModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-XLMRobertaXLModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ad36e940b9a0edb3139fb2d0a6417f6741e5ba0dcda89cb31d8a548cc4058d3
- Size of remote file:
- 32.2 MB
- SHA256:
- 8fc6f26319b3b36e313576066a77913380dc989393f98fe84bedd44ae55cb176
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