Instructions to use sello-ralethe/bert-base-generics-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sello-ralethe/bert-base-generics-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sello-ralethe/bert-base-generics-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sello-ralethe/bert-base-generics-mlm") model = AutoModelForMaskedLM.from_pretrained("sello-ralethe/bert-base-generics-mlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db6cda3b033f0d5df64f67c7419cca975a5fb5a7f1674ca67e817de6a1594d61
- Size of remote file:
- 438 MB
- SHA256:
- 2d2392b7235796090cdb1eee6b4346cf48ae6c8647abc81474449ae08b80ea59
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