Token Classification
Transformers
PyTorch
Chinese
bert
fill-mask
classical chinese
text-classification
Instructions to use sothisai1/0329files with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sothisai1/0329files with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sothisai1/0329files")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sothisai1/0329files") model = AutoModelForMaskedLM.from_pretrained("sothisai1/0329files") - 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 sha256:81d811ef8b27d02be88e48aae7a0191078794a96eeee3f69ffedac70c06d5043
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size 438195020
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