Instructions to use CocoRoF/modernbert_large_project_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CocoRoF/modernbert_large_project_v01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CocoRoF/modernbert_large_project_v01")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CocoRoF/modernbert_large_project_v01") model = AutoModelForMaskedLM.from_pretrained("CocoRoF/modernbert_large_project_v01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from CocoRoF/modernbert_large_project_v01: direct link, hf CLI and curl.
- Browser
- Download file 2.38 GB
-
https://huggingface.co/CocoRoF/modernbert_large_project_v01/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CocoRoF/modernbert_large_project_v01/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CocoRoF/modernbert_large_project_v01/resolve/main/last-checkpoint/optimizer.pt
2.38 GB
- Xet hash:
- 8f2613cd176ee354667f8112c9b26eccc10493ebf7cdd44eee99f61b0c2add6c
- Size of remote file:
- 2.38 GB
- SHA256:
- f3a0e5ae6c5f327214099f137a7cc8083d4122fae307d1b2016880d7e75c10cd
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