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 optimizer.pt from kevincstowe/concept2seq: direct link, hf CLI and curl.
- Browser
- Download file 1.12 GB
-
https://huggingface.co/kevincstowe/concept2seq/resolve/main/optimizer.pt
- Command line
-
hf download hf://kevincstowe/concept2seq/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kevincstowe/concept2seq/resolve/main/optimizer.pt
1.12 GB
- Xet hash:
- 28ff8c1f3984675e9f94ee9b3e486ffb431be331d3d709990e32eb4c9bfa9ce8
- Size of remote file:
- 1.12 GB
- SHA256:
- dbbc7d0f1174219b77e846a3c2767109cc8f0639110c67a37339732d73f40756
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