Instructions to use Codebee/Bert-FD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Codebee/Bert-FD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Codebee/Bert-FD")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Codebee/Bert-FD") model = AutoModelForMaskedLM.from_pretrained("Codebee/Bert-FD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 654b6bb2f6e88ecde651249d6a8a7f79d40faeca27e66f38c55934d5a77b9ad6
- Size of remote file:
- 409 MB
- SHA256:
- 9bea9030929d11be96b424f141bd045d95c6da911a53cb7ffe2ec0199c6e2de1
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