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:
- 2b7fd4d230edcc11fde44500370ba5e111dcc5d1cbac1ee38145d4450c9db454
- Size of remote file:
- 1.9 kB
- SHA256:
- 35e34e12ffd0b9fb1a4670a23b2d09a04c12c58cdec40c8930c5ec75fb552fd3
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