Instructions to use ltg/norbert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/norbert2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/norbert2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ltg/norbert2") model = AutoModelForMaskedLM.from_pretrained("ltg/norbert2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ltg/norbert2: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/ltg/norbert2/resolve/main/model.safetensors
- Command line
-
hf download hf://ltg/norbert2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ltg/norbert2/resolve/main/model.safetensors
501 MB
- Xet hash:
- 4b8eb735ec2f134f9698c0e27f30004165c153959ae833793a3871f1f5333787
- Size of remote file:
- 501 MB
- SHA256:
- 2538c45ba813698a01fe4d5905b6dcb37e74411fe91dbe563f1cc24aed43d80c
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