Instructions to use alalfi/text-summary-training_last with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alalfi/text-summary-training_last with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alalfi/text-summary-training_last") model = AutoModelForSeq2SeqLM.from_pretrained("alalfi/text-summary-training_last", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d611624e160ed177761b5b87d53d2797a9afcf5d2fad38843392cefb3cd6bee4
- Size of remote file:
- 495 MB
- SHA256:
- 3978ff6d2d0a10148589a9b06ad62cce03c83be490a969eb217b6a146f23c5d8
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