Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
email generation
email
text-generation-inference
Instructions to use postbot/t5-small-kw2email-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use postbot/t5-small-kw2email-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("postbot/t5-small-kw2email-v2") model = AutoModelForSeq2SeqLM.from_pretrained("postbot/t5-small-kw2email-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 600e419420680524cfa3202ea12c951a74a955ead550c2693a94561b5c32f7ba
- Size of remote file:
- 308 MB
- SHA256:
- 4e26328528b3a1a01862fd4c4c5b83290c9f886d9e4db6fd0c8d9341ec0240a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.