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:
- 34a06918de69ec304e5034586d753f22ca05038c6f8f452cb7d6170d7f815669
- Size of remote file:
- 409 MB
- SHA256:
- c95263a40cda5643692b86f9c4c32ac7519f89163e20499b2d32d21c00e9b682
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