Transformers
PyTorch
English
roberta
Machine Learning
Research Papers
Scientific Language Model
Entity
Instructions to use shrutisingh/MLEntityRoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shrutisingh/MLEntityRoBERTa with Transformers:
# Load model directly from transformers import AutoTokenizer, MaskedRoBERTa tokenizer = AutoTokenizer.from_pretrained("shrutisingh/MLEntityRoBERTa") model = MaskedRoBERTa.from_pretrained("shrutisingh/MLEntityRoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b187380467b81b08b6f84d9751ea04c9e4e9d233a88895206eb3f584a3f2ca9
- Size of remote file:
- 334 MB
- SHA256:
- 66685984277af5ea249522aac6626a82a3b11257297958320fd63ebcf64e84ab
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