Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
email generation
email
text-generation-inference
Instructions to use postbot/flan-t5-base-kw2email-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use postbot/flan-t5-base-kw2email-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("postbot/flan-t5-base-kw2email-v1") model = AutoModelForSeq2SeqLM.from_pretrained("postbot/flan-t5-base-kw2email-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from postbot/flan-t5-base-kw2email-v1: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/postbot/flan-t5-base-kw2email-v1/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://postbot/flan-t5-base-kw2email-v1@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/postbot/flan-t5-base-kw2email-v1/resolve/refs%2Fpr%2F1/pytorch_model.bin
990 MB
- Xet hash:
- 7de9eae0c2ab7bb8abaa1921f0066a5d41603fd24a5ea30ba7db3a75d4ce5a29
- Size of remote file:
- 990 MB
- SHA256:
- c0a1d94d660a81733d758fbf36a0817ab457a75a81cd59d91ada24c90e150fba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.