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:
- 82a965cde101597389975be3b5db7257ed1c633be59eeafbf1c297c53b40138c
- Size of remote file:
- 536 MB
- SHA256:
- ff99a296e6e27ee2621a06d0b921aee54c31e9d9ed58399bb751759dda9b8d30
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