Summarization
Transformers
Safetensors
English
t5
text2text-generation
biomedical
alzheimer
dementia
neuroscience
domain-specific-llm
scientific-literature
text-generation-inference
Instructions to use furkanyagiz/flan-t5-base-alzheimer-ultra-safe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use furkanyagiz/flan-t5-base-alzheimer-ultra-safe 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="furkanyagiz/flan-t5-base-alzheimer-ultra-safe")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("furkanyagiz/flan-t5-base-alzheimer-ultra-safe") model = AutoModelForSeq2SeqLM.from_pretrained("furkanyagiz/flan-t5-base-alzheimer-ultra-safe") - Notebooks
- Google Colab
- Kaggle
File size: 142 Bytes
561c9c2 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.57.3"
}
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