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 pytorch_model.bin from kevincstowe/concept2seq: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/kevincstowe/concept2seq/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kevincstowe/concept2seq/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kevincstowe/concept2seq/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- ecbf309932ef20705678abf9097751e6c37454fd4d8a60def4e577085b2442e8
- Size of remote file:
- 558 MB
- SHA256:
- 1c173cb2aabc772d8ed0a6693cd76277293a10a40de503f180a9306d2d5facbd
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