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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 483958b3379acac1ddc3feff4dcc4669ef50a19d6c1fe4562bfac2a626f2a75e
- Size of remote file:
- 3.96 kB
- SHA256:
- d12e2447268571e43f688b3eb703ace7b3c81316654186d388a569f58461215c
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