Instructions to use ombhojane/ckModelv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ombhojane/ckModelv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ombhojane/ckModelv2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ombhojane/ckModelv2") model = AutoModel.from_pretrained("ombhojane/ckModelv2") - Notebooks
- Google Colab
- Kaggle
Upload my_awesome_model.joblib
Browse files- my_awesome_model.joblib +3 -0
my_awesome_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:4cae6ee5d336c614b2aa9d856b6c8f98955f86c8ba6b1a735a69bd6617136181
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size 45110857
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