Instructions to use dla9944/text-to-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dla9944/text-to-text with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dla9944/text-to-text") model = AutoModelForSeq2SeqLM.from_pretrained("dla9944/text-to-text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update config.json
1686161 -
Upload 207 files
cbe66c6 -
Update .gitattributes
77dd3b4 -
Create onnx__MatMul_7105
ff892f2 -
Create model.onnx
825d04b -
Delete data/model.onnx
f7df729 -
Rename data/reademe.md to onnx/reademe.md
f0f0865 -
모델 오넥스
05750b1 -
Update README.md
eba821c -
Update README.md
a2c2aa7 -
콘피그
b80dde1 -
모델 세이프텐서
3a2d592 -
파이토치 모델
7ebcebc -
스페셜 토큰 맵
d8c1ed1 -
스피스 모델
7df8aee -
토크나이저 json
f7dd4fa -
토크나이저 콘피그
d9beebe -
Create training_args.bin
816f4be -
Update README.md
8f83615 -
Create data/reademe.md
1abc90d -
initial commit
dc87892