Instructions to use amkorba/mlm-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amkorba/mlm-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amkorba/mlm-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amkorba/mlm-model") model = AutoModelForMaskedLM.from_pretrained("amkorba/mlm-model") - 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:f991094739061a0c9b3ec0ccd9f2ee402be3b9748c038f45c8ff5b5e6cf789ff
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size 267954768
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