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", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sothisai1/0329files") model = AutoModelForMaskedLM.from_pretrained("sothisai1/0329files", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4903ba6c2c26f3eab2a403d8b3b6b0cd5e4a9f11c50a7dd128e7aabe1c1f41c2
- Size of remote file:
- 438 MB
- SHA256:
- f60aae44c3c07748e671da0c9da5f15cb267169a8342bfe7f126524c3b289ff3
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