Instructions to use CLTL/MedRoBERTa.nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/MedRoBERTa.nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CLTL/MedRoBERTa.nl")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CLTL/MedRoBERTa.nl") model = AutoModelForMaskedLM.from_pretrained("CLTL/MedRoBERTa.nl", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b30b4b5bcc031e228072002af9748c3d7cdb0fc2970d6cd04c970d8307d4ac8
- Size of remote file:
- 504 MB
- SHA256:
- f57c35542e536558bae9f3d3d8a936501a72bdcbdae1885622fd89fa961d3024
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