Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use basilepp19/cpv-it5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basilepp19/cpv-it5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("basilepp19/cpv-it5") model = AutoModelForSeq2SeqLM.from_pretrained("basilepp19/cpv-it5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from basilepp19/cpv-it5: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/basilepp19/cpv-it5/resolve/2d5dda4a7cc3be13f464cee3e6e07d09c835da47/pytorch_model.bin
- Command line
-
hf download hf://basilepp19/cpv-it5@2d5dda4a7cc3be13f464cee3e6e07d09c835da47/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/basilepp19/cpv-it5/resolve/2d5dda4a7cc3be13f464cee3e6e07d09c835da47/pytorch_model.bin
3.13 GB
- Xet hash:
- e4d455629459a7d737b75b4da2a431851acdcbe9de62bb5b9ae72fdc6e810d97
- Size of remote file:
- 3.13 GB
- SHA256:
- 9230947dd343bad0a0383310ab416f7796dfa890de40a6c6435eadb34f42f91c
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