Instructions to use fxmarty/tiny-random-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/tiny-random-longformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fxmarty/tiny-random-longformer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fxmarty/tiny-random-longformer") model = AutoModel.from_pretrained("fxmarty/tiny-random-longformer") - Notebooks
- Google Colab
- Kaggle
Commit History
max embedding a06daf3
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update c81f4e9
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add tiny model 30b935c
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