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
- Xet hash:
- 9cf88191e8979e6900e6dfdabfcac94e6bed7b4b04be9b4980a7976268f5af83
- Size of remote file:
- 4.09 kB
- SHA256:
- 19da3bc6f42ff25cb4faa0023a3092494b7264fba05baca8981af100bbc7e717
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