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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Charles59/lens-pretrained") model = AutoModelForSeq2SeqLM.from_pretrained("Charles59/lens-pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Charles59/lens-pretrained: direct link, hf CLI and curl.
- Browser
- Download file 2.19 MB
-
https://huggingface.co/Charles59/lens-pretrained/resolve/main/tokenizer.json
- Command line
-
hf download hf://Charles59/lens-pretrained/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Charles59/lens-pretrained/resolve/main/tokenizer.json
2.19 MB
File too large to display, you can check the raw version instead.