Summarization
Transformers
PyTorch
Enawené-Nawé
pegasus
text2text-generation
Trained with AutoTrain
Prompt Generation
prompt-generator
text generator
Instructions to use SamAct/PromptGeneration-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamAct/PromptGeneration-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="SamAct/PromptGeneration-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SamAct/PromptGeneration-base") model = AutoModelForSeq2SeqLM.from_pretrained("SamAct/PromptGeneration-base") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
4833f7e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0015189ef36359283fec8b93cf6d9ce51bca37eb1101defc68a53b394913b96c
size 1912529
|