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/training_args.joblib from bertin-project/bertin-base-random: direct link, hf CLI and curl.
- Browser
- Download file 1.87 kB
-
https://huggingface.co/bertin-project/bertin-base-random/resolve/main/outputs/training_args.joblib
- Command line
-
hf download hf://bertin-project/bertin-base-random/outputs/training_args.joblib
-
curl -L -o training_args.joblib https://huggingface.co/bertin-project/bertin-base-random/resolve/main/outputs/training_args.joblib
1.87 kB
- Xet hash:
- b2d8a54732d8a1b21d18c2af3abc5c11d24b70bb440b1a902096ed60e527be47
- Size of remote file:
- 1.87 kB
- SHA256:
- 992b48eed1c6d2f7f720200cd91ad0097c32fde0bda7f370b8b6bee448eaede7
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