Instructions to use Copticoder/vaguemss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Copticoder/vaguemss with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Copticoder/vaguemss") model = AutoModelForSeq2SeqLM.from_pretrained("Copticoder/vaguemss", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1fcf1961308423537c4b8ef7b7a418e7fc422287fd416b576713c6c5024992c
- Size of remote file:
- 4.09 kB
- SHA256:
- d8abae35232386b139a157937a137de0f34485437a9152295fc9a351e06979a8
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