Instructions to use michaelginn/treebert-pretrained-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelginn/treebert-pretrained-100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="michaelginn/treebert-pretrained-100k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("michaelginn/treebert-pretrained-100k") model = AutoModelForMaskedLM.from_pretrained("michaelginn/treebert-pretrained-100k") - 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 sha256:8025327f00fab914bb0be913f417f702c0bae549f55cda5ff4a8d09d73cfc05a
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size 497223008
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