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:
- d0eb1fba7828be6258f7ab727eb508234982c64b1ce5fa9b8a9c3caa25d1cf7d
- Size of remote file:
- 4.86 kB
- SHA256:
- 0f44eb14c91df4026457b1b3ff7fa6ddd8beafc5a99c3b8a9e0f1f2e171035ab
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