Instructions to use wybxc/bert-small-mygo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wybxc/bert-small-mygo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="wybxc/bert-small-mygo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("wybxc/bert-small-mygo") model = AutoModelForMaskedLM.from_pretrained("wybxc/bert-small-mygo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbf3a07f9d912a3acddab784c21c9f57184761ad3dea13f0beed24c6ffd63f0f
- Size of remote file:
- 5.18 kB
- SHA256:
- 056da3f8b174c52cc0f87d694bc21569a3b80c1203c2b2df57ce181da37029f5
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