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:
- d7e1ad9f2e9548918ab345ef99709ce4a1936aa63e9c192483c152f89df47b3d
- Size of remote file:
- 499 MB
- SHA256:
- b8e0d22aa0718e69f4de1e9cdadb4e44a7bfc44b9072d4edacec255e1ded6c4e
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