Fill-Mask
Transformers
PyTorch
English
bert
pretraining
Not-For-All-Audiences
abusive language
hate speech
offensive language
Instructions to use clincolnoz/LessSexistBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clincolnoz/LessSexistBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="clincolnoz/LessSexistBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("clincolnoz/LessSexistBERT") model = AutoModelForPreTraining.from_pretrained("clincolnoz/LessSexistBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36ec58485fe62900652f53957605bdb416c52aa0aaf11238c58814d03e601e5f
- Size of remote file:
- 3.52 kB
- SHA256:
- 1cfc6b60d9b6d24dbaf9d97d9365ac2ddaf991ef1860605a7cfa32d631957c38
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