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:
- 3352f00a1bbfca5dbde405e05eda0eb7cc030a283721aa43ea965ae41a4779bc
- Size of remote file:
- 16.3 MB
- SHA256:
- 4f655ce5417976fc8edcbce2b521929009a5e5205f3a77c33bcdb37b7b7a805f
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