Instructions to use seemdog/manchuBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seemdog/manchuBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seemdog/manchuBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seemdog/manchuBERT") model = AutoModelForMaskedLM.from_pretrained("seemdog/manchuBERT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:3fa848b4e4c9a33a457bfb7731a52e4049694d659aad8e4e6651e0797f5c7425
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size 421095328
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