Instructions to use hf-internal-testing/tiny-random-TransfoXLModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TransfoXLModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-TransfoXLModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-TransfoXLModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b916bc4163224a1f42d8c9031d98a32ad89634522babda3ac0abab11ad3788d
- Size of remote file:
- 4.66 MB
- SHA256:
- bc1a8e6e3ebae7704cd8ba283cd9b74ed386de3a418111cd7abb7fbafbc023ce
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