Instructions to use hf-tiny-model-private/tiny-random-RobertaModel 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-RobertaModel 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-RobertaModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-RobertaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b3fe7ff10794eec9da177b3c24efff12c2cce4e90bf7fcbd65514f3fa3a7d4d
- Size of remote file:
- 371 kB
- SHA256:
- cbeab5830df5398119b876fc66ded73015724d70296b848d77ca3bc27c58d2bb
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