Instructions to use NbAiLab/roberta_NCC_des_128_decayfrom200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_NCC_des_128_decayfrom200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_NCC_des_128_decayfrom200")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_NCC_des_128_decayfrom200") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_NCC_des_128_decayfrom200") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85f5dbd6d98ceb822d442da5f73fe307b3b1e0573cd00d1d07d54fadb0e05953
- Size of remote file:
- 499 MB
- SHA256:
- 5255008970a84f6e4d55177ca133107efb4c186c01834c6dac31da4bc0e34e91
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