Instructions to use TurkuNLP/xlmr-qa-register with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TurkuNLP/xlmr-qa-register with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TurkuNLP/xlmr-qa-register")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TurkuNLP/xlmr-qa-register") model = AutoModelForSequenceClassification.from_pretrained("TurkuNLP/xlmr-qa-register") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ed5c179074bf59183caea28451c57816f3eda9db626e9e4ff5a8a618ab761d6
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size 1112209216
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