Instructions to use dejanseo/LinkBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanseo/LinkBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dejanseo/LinkBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dejanseo/LinkBERT") model = AutoModelForMaskedLM.from_pretrained("dejanseo/LinkBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aac75fdc6ea9b7cb3b02c5637529550407a263e49a1e1e2141061bc35b84ca0
- Size of remote file:
- 1.33 GB
- SHA256:
- da8ea5f8dd9d2c939f26deec0ea11d9f3709211f60e66d9e3853012e47761fb6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.