Instructions to use krittykitty/kritty_v2_fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krittykitty/kritty_v2_fixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="krittykitty/kritty_v2_fixed", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("krittykitty/kritty_v2_fixed") model = AutoModel.from_pretrained("krittykitty/kritty_v2_fixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af0d54b4d242352d90c3ad2fbf4803fb15f695071747bf276929be5c8b653828
- Size of remote file:
- 133 MB
- SHA256:
- dfd744676ad7893f724db402a2a78b2c6541beab7c921a74253deac8d9e81fae
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