Instructions to use dejanseo/LinkjeBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanseo/LinkjeBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dejanseo/LinkjeBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dejanseo/LinkjeBERT") model = AutoModelForTokenClassification.from_pretrained("dejanseo/LinkjeBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dejanseo/LinkjeBERT: direct link, hf CLI and curl.
- Browser
- Download file 16 MB
-
https://huggingface.co/dejanseo/LinkjeBERT/resolve/main/tokenizer.json
- Command line
-
hf download hf://dejanseo/LinkjeBERT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dejanseo/LinkjeBERT/resolve/main/tokenizer.json
16 MB
- Xet hash:
- 82a520cf7b2d9f94c7a7050021ccbc4597da46edafd0a4c842e66faf339280a2
- Size of remote file:
- 16 MB
- SHA256:
- 89ee6ed21d345eba7ad360473bde026240d8cf42fc67723b61162d9605784efa
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