Instructions to use Cube/tcmtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cube/tcmtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cube/tcmtest")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cube/tcmtest") model = AutoModelForTokenClassification.from_pretrained("Cube/tcmtest") - Notebooks
- Google Colab
- Kaggle
Upload tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5393c1d9a170f33be476356ff85598320e78bd9f04836ec180478a4e21b377b
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size 407009728
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