Instructions to use adzcodez/TokenClassificationTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adzcodez/TokenClassificationTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adzcodez/TokenClassificationTest")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("adzcodez/TokenClassificationTest") model = AutoModelForTokenClassification.from_pretrained("adzcodez/TokenClassificationTest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from adzcodez/TokenClassificationTest: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/adzcodez/TokenClassificationTest/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://adzcodez/TokenClassificationTest@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/adzcodez/TokenClassificationTest/resolve/refs%2Fpr%2F1/model.safetensors
265 MB
- Xet hash:
- 8349377ee1d33abcc47210db8d7f9005dddfe027f4700e9f7f2b9ede0de431b2
- Size of remote file:
- 265 MB
- SHA256:
- 98051009853a2c4762e3d7074f7f021ca9018bf638f17197bf588728b12cb991
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