Fill-Mask
Transformers
PyTorch
English
roberta
Machine Learning
Research Papers
Scientific Language Model
Instructions to use shrutisingh/MLRoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shrutisingh/MLRoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shrutisingh/MLRoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shrutisingh/MLRoBERTa") model = AutoModelForMaskedLM.from_pretrained("shrutisingh/MLRoBERTa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c7e30a3723d1cbfa600177ea4432071c87c780f2ffd7aebf4a15ba9e3aea4f
- Size of remote file:
- 334 MB
- SHA256:
- 49a4ac9cbbcf3d94f7d5e609b0c66a8d0de4f04c685bdaf0ec3b57749ce0094a
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