Instructions to use nlpie/miniALBERT-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/miniALBERT-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpie/miniALBERT-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlpie/miniALBERT-128") model = AutoModelForMaskedLM.from_pretrained("nlpie/miniALBERT-128") - 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:df3981ff178d71b9bd51885bc19f7b00356742a5907bfa532bd8ad31c9f1e3ab
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size 146923144
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