Instructions to use bertin-project/bertin-base-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-base-random")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-random") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download outputs/optimizer_state.msgpack from bertin-project/bertin-base-random: direct link, hf CLI and curl.
- Browser
- Download file 500 MB
-
https://huggingface.co/bertin-project/bertin-base-random/resolve/main/outputs/optimizer_state.msgpack
- Command line
-
hf download hf://bertin-project/bertin-base-random/outputs/optimizer_state.msgpack
-
curl -L -o optimizer_state.msgpack https://huggingface.co/bertin-project/bertin-base-random/resolve/main/outputs/optimizer_state.msgpack
500 MB
- Xet hash:
- cd47f5e9df0bc6d3b7b6b1037dd6779f947372d52988fdc76d60a50f86863dae
- Size of remote file:
- 500 MB
- SHA256:
- 36fd1d72c730f47122b9c0dea8f19334e1279c1d98a6e1ec95a30953f336eb42
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