Summarization
Transformers
Safetensors
English
t5
text2text-generation
flan-t5
huggingface
fine-tuned
Eval Results (legacy)
text-generation-inference
Instructions to use AbdullahAlnemr1/flan-t5-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbdullahAlnemr1/flan-t5-summarizer 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="AbdullahAlnemr1/flan-t5-summarizer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AbdullahAlnemr1/flan-t5-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("AbdullahAlnemr1/flan-t5-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e0aea08 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cc99f21c905ed5445721199aff0150bf6044cc40249dc603f09529787f26adf9
size 5432
|