Instructions to use patrickvonplaten/longformer-random-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/longformer-random-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="patrickvonplaten/longformer-random-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/longformer-random-tiny") model = AutoModelForMultimodalLM.from_pretrained("patrickvonplaten/longformer-random-tiny") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 8f15d46
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (e170e7088ea05dadb6bfbceaed61cd4ba9b886cc)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>