Transformers
TensorBoard
Safetensors
English
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use jbochi/coedit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbochi/coedit-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jbochi/coedit-base") model = AutoModelForSeq2SeqLM.from_pretrained("jbochi/coedit-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d01336d75a7af4dd902bb490e08b50a0cbf572ee75ef8c4a7c3ee364ae51b100
- Size of remote file:
- 4.73 kB
- SHA256:
- 88291510589bd6929f92cc937dcb7786cb64b33df41ee837555c692d1933b689
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.