Instructions to use sheoran95/single_sentence_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sheoran95/single_sentence_models with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sheoran95/single_sentence_models") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/single_sentence_models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sheoran95/single_sentence_models: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/sheoran95/single_sentence_models/resolve/main/training_args.bin
- Command line
-
hf download hf://sheoran95/single_sentence_models/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/sheoran95/single_sentence_models/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- c8402b635bb238629664689883c5cb45633075e34f753ada48236580650db83a
- Size of remote file:
- 3.71 kB
- SHA256:
- 9e2c415ec0e344b5f7cfc5cf67247b324376c42d1bbb038efea9a11f7e99a7d4
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