Instructions to use SzegedAI/bert-small_20M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-small_20M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SzegedAI/bert-small_20M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-small_20M") model = AutoModelForMaskedLM.from_pretrained("SzegedAI/bert-small_20M") - 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 sha256:8cf3c0f99c001c6f045bef2bc174b85a770998468ca16d5b0d49ab2a41b3ce58
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size 112058064
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