Instructions to use amitness/roberta-base-ne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitness/roberta-base-ne with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amitness/roberta-base-ne")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amitness/roberta-base-ne") model = AutoModelForMaskedLM.from_pretrained("amitness/roberta-base-ne", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe2534f5fc884dca9e7b195f78baec2fc58dbe5fb1aff3103ce0d2e5de9e7431
- Size of remote file:
- 334 MB
- SHA256:
- 315f7ad491ea89c8e1d47c4df4c5118e79f0b63ab9efa0ce9bc0a5f9f5560dad
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