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
Download flax_model.msgpack from Codebee/Bert-FD: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/Codebee/Bert-FD/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Codebee/Bert-FD/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Codebee/Bert-FD/resolve/main/flax_model.msgpack
409 MB
- Xet hash:
- 61251e6179fd3cf4dbab805e8ed4f1c2ffdb0fce18466d751fb6a21943ea7623
- Size of remote file:
- 409 MB
- SHA256:
- 76df8425215fb9ede22e0393e356f82a99d84e79f078cd141afbbf9277460c8e
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