Instructions to use Finnish-NLP/roberta-large-finnish-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finnish-NLP/roberta-large-finnish-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Finnish-NLP/roberta-large-finnish-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Finnish-NLP/roberta-large-finnish-v2") model = AutoModelForMaskedLM.from_pretrained("Finnish-NLP/roberta-large-finnish-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Finnish-NLP/roberta-large-finnish-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/Finnish-NLP/roberta-large-finnish-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Finnish-NLP/roberta-large-finnish-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Finnish-NLP/roberta-large-finnish-v2/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- 07dcf1251727862641acef5a02f142820d854298203ef2a27b8fd43dda85870c
- Size of remote file:
- 1.42 GB
- SHA256:
- 970492bcddf8c91631ed66f71f6cb6a2ffbd8c595d476ad060bc1205a2330bf5
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