Instructions to use Copticoder/vaguemm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Copticoder/vaguemm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Copticoder/vaguemm") model = AutoModelForSeq2SeqLM.from_pretrained("Copticoder/vaguemm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c10460ec3fef66a73fb47010cabb7781528240ae80e6e5a34057086c592ea64
- Size of remote file:
- 4.09 kB
- SHA256:
- a8222836cec06c28a59dc38d3883d14d7bb1cf58562aee925fd235252ef55d16
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