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/data_collator.joblib from bertin-project/bertin-base-random: direct link, hf CLI and curl.
- Browser
- Download file 1.47 MB
-
https://huggingface.co/bertin-project/bertin-base-random/resolve/main/outputs/data_collator.joblib
- Command line
-
hf download hf://bertin-project/bertin-base-random/outputs/data_collator.joblib
-
curl -L -o data_collator.joblib https://huggingface.co/bertin-project/bertin-base-random/resolve/main/outputs/data_collator.joblib
1.47 MB
- Xet hash:
- eff396711dd1e02685da192fa119a2c111c9d6d1ab6a50a935e028e2753c0e5d
- Size of remote file:
- 1.47 MB
- SHA256:
- e02a6e9cfa63cb321cac9402efd29841b652999fcbf787800ae050e747b161ee
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