Transformers
PyTorch
English
t5
text2text-generation
keytotext
k2t
Keywords to Sentences
text-generation-inference
Instructions to use Apoorva/k2t-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apoorva/k2t-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Apoorva/k2t-test") model = AutoModelForSeq2SeqLM.from_pretrained("Apoorva/k2t-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Apoorva/k2t-test: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Apoorva/k2t-test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Apoorva/k2t-test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Apoorva/k2t-test/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- f2beb965c93579d8043d02cac034d73ea26088fe49b018b349210e96f639b565
- Size of remote file:
- 242 MB
- SHA256:
- f23f704672055cc9559f86bf0a388fbdd4000c55105a9fcc6f172f808b3b3086
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