Instructions to use FremyCompany/roberta-base-nl-oscar23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FremyCompany/roberta-base-nl-oscar23 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FremyCompany/roberta-base-nl-oscar23")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FremyCompany/roberta-base-nl-oscar23") model = AutoModelForMaskedLM.from_pretrained("FremyCompany/roberta-base-nl-oscar23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 012f1182da0afcb2ab4ecceb107c0d581e43d1ad7af620a484c32ab68c93b80f
- Size of remote file:
- 498 MB
- SHA256:
- 5592b3974a141080937f7eb0dcaf2e44b534ee233cfcf06e323af80f89b97033
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