Instructions to use miugod/mbert_zhth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miugod/mbert_zhth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miugod/mbert_zhth")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("miugod/mbert_zhth") model = AutoModelForMaskedLM.from_pretrained("miugod/mbert_zhth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e979fe8f59f504ab87743a8ed5fa7b69a07d556cdfd477f4b555137b3197c71
- Size of remote file:
- 3.9 kB
- SHA256:
- 86cf0a59ea5136dc1ce365c26b4f0dedb6ffb1905a7f606e88fa654bb2aea576
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