Instructions to use MuhammedSaeed/RobertaPCM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuhammedSaeed/RobertaPCM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MuhammedSaeed/RobertaPCM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MuhammedSaeed/RobertaPCM") model = AutoModelForMaskedLM.from_pretrained("MuhammedSaeed/RobertaPCM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ae6a5baf418ea8c7fafe5a7f3f0046544bd2c5641929ae730d66dc580691137
- Size of remote file:
- 3.31 kB
- SHA256:
- fcd1e3c8a373a807431a192a7b311d63547ff531f9d69479c69e0718e1360044
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