Instructions to use andreslilloortiz/SHBERT-de-biased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreslilloortiz/SHBERT-de-biased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreslilloortiz/SHBERT-de-biased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreslilloortiz/SHBERT-de-biased") model = AutoModelForMaskedLM.from_pretrained("andreslilloortiz/SHBERT-de-biased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5852321fb982040f0be1a2ed6dea2484c35bf4650eb54abdc2f97f45c0ae601c
- Size of remote file:
- 438 MB
- SHA256:
- 9047dc4b4617bf1b2c10c9be15e6633ef75e825f05f900d4aff45b643de468d4
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