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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cube/tcmtest") model = AutoModelForTokenClassification.from_pretrained("Cube/tcmtest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Cube/tcmtest: direct link, hf CLI and curl.
- Browser
- Download file 407 MB
-
https://huggingface.co/Cube/tcmtest/resolve/main/tf_model.h5
- Command line
-
hf download hf://Cube/tcmtest/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Cube/tcmtest/resolve/main/tf_model.h5
407 MB
- Xet hash:
- 44dcfd240d1304e52404b9cef56997f8e13c258bd7485631bf3752b252ef7350
- Size of remote file:
- 407 MB
- SHA256:
- a5393c1d9a170f33be476356ff85598320e78bd9f04836ec180478a4e21b377b
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