Instructions to use kevincstowe/concept2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevincstowe/concept2seq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kevincstowe/concept2seq") model = AutoModelForSeq2SeqLM.from_pretrained("kevincstowe/concept2seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kevincstowe/concept2seq: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/kevincstowe/concept2seq/resolve/main/training_args.bin
- Command line
-
hf download hf://kevincstowe/concept2seq/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kevincstowe/concept2seq/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- ae51a1e6c8cdd02bbe35f9714714473fbf7b07553242468a9e787853a8d55c83
- Size of remote file:
- 3.31 kB
- SHA256:
- 7e15d7a37a79194bf13b2b9d3eee0d50158926ee224f752963647fb746f3de07
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