Summarization
Transformers
PyTorch
Enawené-Nawé
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use aszfcxcgszdx/reverse-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aszfcxcgszdx/reverse-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="aszfcxcgszdx/reverse-summarizer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aszfcxcgszdx/reverse-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("aszfcxcgszdx/reverse-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aszfcxcgszdx/reverse-summarizer: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/aszfcxcgszdx/reverse-summarizer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aszfcxcgszdx/reverse-summarizer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aszfcxcgszdx/reverse-summarizer/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- 3c231a4d10d3a817461ae933e193af45f5355f660221208d8492dd444b41f35d
- Size of remote file:
- 3.13 GB
- SHA256:
- 1913ce70e94a1e926d2828ee539d8e963e018e456eec384536b9c6c2b8976bbc
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