Instructions to use fxmarty/tiny-random-working-LongT5Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/tiny-random-working-LongT5Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fxmarty/tiny-random-working-LongT5Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fxmarty/tiny-random-working-LongT5Model") model = AutoModel.from_pretrained("fxmarty/tiny-random-working-LongT5Model", device_map="auto") - 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 sha256:9fb36159efef2f14c0e5a52bf9fc9588fa07af10b782a36acdcb6935aa09f70f
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size 523104
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