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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:15d5cff72f634104951ece8415e7b3894c783d1303a3a1730080b410e1ff058b
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size 3510256
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