Instructions to use hf-tiny-model-private/tiny-random-ReformerModel 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-ReformerModel 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-ReformerModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ReformerModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ReformerModel") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eos_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |