Summarization
Transformers
PyTorch
TensorBoard
English
t5
text2text-generation
text-generation-inference
Instructions to use AliiaR/sum-aliia-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AliiaR/sum-aliia-model 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="AliiaR/sum-aliia-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AliiaR/sum-aliia-model") model = AutoModelForSeq2SeqLM.from_pretrained("AliiaR/sum-aliia-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AliiaR/sum-aliia-model: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/AliiaR/sum-aliia-model/resolve/main/tokenizer.json
- Command line
-
hf download hf://AliiaR/sum-aliia-model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AliiaR/sum-aliia-model/resolve/main/tokenizer.json
2.42 MB
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