Instructions to use fxmarty/tiny-random-longformer-onnxtrue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/tiny-random-longformer-onnxtrue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fxmarty/tiny-random-longformer-onnxtrue")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fxmarty/tiny-random-longformer-onnxtrue") model = AutoModel.from_pretrained("fxmarty/tiny-random-longformer-onnxtrue") - 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:c94d8475e57bc5b410b2097aa3ac57e831696b612aad605972a0721b510834e6
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size 3510256
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