Transformers
PyTorch
ONNX
Safetensors
English
t5
text2text-generation
summary
summarizer
Eval Results (legacy)
text-generation-inference
Instructions to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v3") model = AutoModelForSeq2SeqLM.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete decoder_model.onnx with huggingface_hub
Browse files- decoder_model.onnx +0 -3
decoder_model.onnx
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:f6ced87cee461bd739a0d8999576d4208be05ab215fe97e6b6f3c1ad31de904f
|
| 3 |
-
size 82732448
|
|
|
|
|
|
|
|
|
|
|
|