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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shrutisingh/MLRoBERTa") model = AutoModelForMaskedLM.from_pretrained("shrutisingh/MLRoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# MLRoBERTa (RoBERTa pretrained on ML Papers)
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language:
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- Machine Learning
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- Research Papers
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- Scientific Language Model
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## How to use:
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```
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---
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language:
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- en
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- Machine Learning
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- Research Papers
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- Scientific Language Model
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license: apache-2.0
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---
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## MLRoBERTa (RoBERTa pretrained on ML Papers)
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## How to use:
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```
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