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")# pip install -U transformers accelerate # 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 flax_model.msgpack 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/flax_model.msgpack
- Command line
-
hf download hf://Finnish-NLP/roberta-large-finnish-v2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Finnish-NLP/roberta-large-finnish-v2/resolve/main/flax_model.msgpack
1.42 GB
- Xet hash:
- b75353779829d1354b0ec89b346e5a8c0417aae9a103a84dff1699dc61a1795e
- Size of remote file:
- 1.42 GB
- SHA256:
- 0b37987d837f9b13599435e66aefebda46fe2acdaaa65fa99623436e44ce7616
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