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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2089c252dc6f5184144ddf5cc18cf02a4aa72d3f09bdbe06153c6fe9d589c84
- Size of remote file:
- 438 MB
- SHA256:
- 3eba92a20d6a233d7c2084ff9569d4d2dab07836e71a8161341a46f1881fc1a2
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