Instructions to use dejanai/LinkBERT-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanai/LinkBERT-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dejanai/LinkBERT-mini")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dejanai/LinkBERT-mini") model = AutoModelForMaskedLM.from_pretrained("dejanai/LinkBERT-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from dejanai/LinkBERT-mini: direct link, hf CLI and curl.
- Browser
- Download file 25 Bytes
-
https://huggingface.co/dejanai/LinkBERT-mini/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://dejanai/LinkBERT-mini/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/dejanai/LinkBERT-mini/resolve/main/tokenizer_config.json
25 Bytes
| {"model_max_length": 512} |