Instructions to use pgajo/incel-mbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pgajo/incel-mbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pgajo/incel-mbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pgajo/incel-mbert") model = AutoModelForMaskedLM.from_pretrained("pgajo/incel-mbert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb37e12779f031f685476d1607025f1bbe31048c310c28b2b0d52a0f7056207d
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size 711926124
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