Instructions to use karoldobiczek/relitc-OLID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karoldobiczek/relitc-OLID with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="karoldobiczek/relitc-OLID")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("karoldobiczek/relitc-OLID") model = AutoModelForMaskedLM.from_pretrained("karoldobiczek/relitc-OLID", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3146129e8f01e621b8d3eb4377a45c7cb392986daf9eecf42d4fea5f0b5ecae3
- Size of remote file:
- 438 MB
- SHA256:
- 9286c7bf364c232e2fe5b409a1b57fa621b3827f5bbc5e63d9405481d1029620
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