Instructions to use subbareddyiiit/RobertaNLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyiiit/RobertaNLP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyiiit/RobertaNLP")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyiiit/RobertaNLP") model = AutoModelForMaskedLM.from_pretrained("subbareddyiiit/RobertaNLP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9645b7797940b9723529031eda463ea6bb4be48d4b46414c5643005017b27b8d
- Size of remote file:
- 356 MB
- SHA256:
- edfcc7d84b94ebec56ebec3e0a73a1498aaee6bab927efbe8d0f6ddb450eda79
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