Transformers
PyTorch
t5
text2text-generation
network-traffic
foundation-model
traffic-classification
traffic-generation
text-generation-inference
Instructions to use Charles59/lens-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Charles59/lens-pretrained with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Charles59/lens-pretrained") model = AutoModelForSeq2SeqLM.from_pretrained("Charles59/lens-pretrained") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16443e0e029a33739839e0391707476ca21e9172c6d61628fa0fa04182312080
- Size of remote file:
- 990 MB
- SHA256:
- 3aa45cbb3d8dfe07db890bebf22a3f8bdf8ecf5018df16cc255090735807f60b
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